Methods for automated identification of vascular features are described. In some embodiments, one or more machine learning (ML)-based vascular classifiers are used, with their results being combined to with results of at least one other vascular classifier in order to produce the final results. Potentially advantages of this approach include the ability to combine certain strengths of ML classifiers with segmentation approaches based on more classical (“formula-based”) methods. These strengths may include particularly the identification of anatomically identified targets mixed within an image also showing similar looking but anatomically distinct targets.
G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
G06T 7/62 - Analysis of geometric attributes of area, perimeter, diameter or volume
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
2.
ENHANCED USER INTERFACE AND CROSSTALK ANALYSIS FOR VASCULAR INDEX MEASUREMENT
Systems and methods for enhanced user interface and crosstalk analysis for cardiac index determination. An example method includes accessing a cardiac model of a portion of a patient's heart, the portion including one or more vessels of the patient's heart, and the cardiac model indicating a plurality of lesions along a length of at least one of the vessels; obtaining, based on the cardiac model for the lesions, respective positions along the length for which the lesions are associated with index drops, wherein the index drops are with respect to an index indicative of vascular function; and causing presentation of a user interface, wherein the user interface: presents a graph mapping the length to the index indicative of vascular function, presents individual toggles enabling nulling of individual lesions, and updates the graph in response to received user input to one or more of the toggles, wherein the user input nulls effects of one or more lesions.
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
A61B 34/00 - Computer-aided surgeryManipulators or robots specially adapted for use in surgery
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A method for vascular modeling including accessing a plurality of medical image data depicting a portion of a vasculature of a subject comprising one or more vessels. A method for vascular modeling may display, via a user interface, at least one medical image of the plurality of medical image data. A method for vascular modeling may annotate, via the user interface, at least one indicator of the one or more vessels of the subject of the displayed at least one medical image. A method for vascular modeling may concurrently display, via the user interface, at least one prompt on the at least one medical image by the system, wherein each of the at least one prompts corresponds to user instructions for annotating a specific indicator of the at least one indicators.
Systems and methods for secure sharing of cardiac assessments using QR codes. An example method may include presenting a cardiac analysis on a user interface; receiving, on the user interface, user input to display at least one QR code configured to share the cardiac analysis; in response to the input, generating the at least one QR code which encodes at least a portion of the cardiac analysis and removes protected health information (PHI), wherein the portion includes one or more of a screenshot or a report associated with the cardiac analysis; and displaying the at least one QR code on the user interface.
G16H 10/65 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records stored on portable record carriers, e.g. on smartcards, RFID tags or CD
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
5.
Systems and methods for displaying distal fractional flow reserve values in vascular analysis
Systems and methods for displaying flow index values on a user interface. An example method may include receiving medical images imaging a portion of a vasculature of a subject, with the portion of the vasculature including vessels; producing, by automatic processing of the medical images, a three-dimensional vascular model of the portion of the vasculature comprising the one or more vessels based on the medical images; calculating flow index values quantifying vascular function along each of the one or more vessels based on the three-dimensional vascular model; displaying a representation of the three-dimensional vascular model comprising the one or more vessels; and for a designated vessel of the one or more vessels, simultaneously displaying the flow value index for a designated location of the designated vessel along with the flow value index for a predetermined distal location along a length of the designated vessel.
Methods for automated identification of vascular features are described. In some embodiments, one or more machine learning (ML)-based vascular classifiers are used, with their results being combined to with results of at least one other vascular classifier in order to produce the final results. Potentially advantages of this approach include the ability to combine certain strengths of ML classifiers with segmentation approaches based on more classical (“formula-based”) methods. These strengths may include particularly the identification of anatomically identified targets mixed within an image also showing similar looking but anatomically distinct targets.
G06T 7/33 - Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
G06T 7/62 - Analysis of geometric attributes of area, perimeter, diameter or volume
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
Methods and systems for manually assisted definition of vascular features are described. In some embodiments, a method provides for editing of vascular paths by enabling a user to drag an erroneously segmented region of a selected vascular path into alignment with a more correctly segmented position that is depicted as a blood vessel in a vascular image. The method may use an energy function, defined as a function of position along the segmentation of the selected blood vessel, to determine how a vascular path is to be moved based on dragging motions provided by the user. In some instances, non-zero regions of the energy function are set based on the position of the selected region.
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
Systems and methods for displaying flow index values on a user interface. An example method may include receiving medical images imaging a portion of a vasculature of a subject, with the portion of the vasculature including vessels; producing, by automatic processing of the medical images, a three-dimensional vascular model of the portion of the vasculature comprising the one or more vessels based on the medical images; calculating flow index values quantifying vascular function along each of the one or more vessels based on the three-dimensional vascular model; displaying a representation of the three-dimensional vascular model comprising the one or more vessels; and for a designated vessel of the one or more vessels, simultaneously displaying the flow value index for a designated location of the designated vessel along with the flow value index for a predetermined distal location along a length of the designated vessel.
G16H 40/60 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
9.
Three-dimensional sizing tool for cardiac assessment
A three-dimensional (3D) sizing tool for cardiac assessment is disclosed. An example system may display a representation of a three-dimensional vascular model including a three-dimensional (3D) sizing tool that surrounds a portion of the three-dimensional vascular model, wherein the portion comprises a volume of the three-dimensional vascular model for which to determine a mapping of geometrical information to a length along the portion; display an interface for adjusting the 3D sizing tool, wherein an area along the interface corresponds to a length of the 3D sizing tool; receive input to adjust the length of the 3D sizing tool via the area along the interface; and adjust the length of the 3D sizing tool according to the input.
An apparatus for performing a vascular assessment is disclosed. The apparatus creates a three-dimensional model that is representative of a coronary vessel tree of a patient based on at least two angiographic images. The apparatus estimates first blood flow resistance values for points along at least some vascular segments of the coronary vessel tree using vascular geometrical dimensions of the three-dimensional model. The apparatus also estimates second blood flow resistance values for the points along the at the least some vascular segments of the coronary vessel tree using a volume of a crown of the vascular segment downstream from the respective point. The apparatus determines fractional flow reserve (“FFR”) by calculating a ration of the first blood flow resistance values and the second blood flow resistance values at each of the points along the at least some vascular segments of the coronary vessel tree.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/021 - Measuring pressure in heart or blood vessels
A61B 6/46 - Arrangements for interfacing with the operator or the patient
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61M 5/00 - Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular wayAccessories therefor, e.g. filling or cleaning devices, arm rests
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
11.
AUTOMATED MEASUREMENT SYSTEM AND METHOD FOR CORONARY ARTERY DISEASE SCORING
An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a processor configured to obtain a computerized model of a plurality of vascular segments of a patient and create an unstenosed computerized model from the computerized model by virtually enlarging at least some locations of the vascular segments of the computerized model. The processor also determines vascular state scoring tool (“VSST”) scores based on characteristics of vascular locations along the vascular segments. The processor further determines a severity of stenosis for the vascular locations based on comparisons of first blood flow parameter values at the vascular locations in the computerized model to corresponding second blood flow parameter values at the same vascular locations in the unstenosed computerized model. A user interface of the device displays the severity of stenosis in conjunction with the VSST scores for the vascular locations.
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing medical and scientific research information and
clinical trials in the field of software for use in the
treatment and diagnosis of cardiovascular and vascular
diseases, illnesses and conditions.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing medical and scientific research information and
clinical trials in the field of software for use in the
treatment and diagnosis of cardiovascular and vascular
diseases, illnesses and conditions.
Systems and methods are described for the compositing together of model-linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.
A61B 6/46 - Arrangements for interfacing with the operator or the patient
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
A61B 8/12 - Diagnosis using ultrasonic, sonic or infrasonic waves in body cavities or body tracts, e.g. by using catheters
A61B 34/00 - Computer-aided surgeryManipulators or robots specially adapted for use in surgery
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
15.
Four-dimensional motion analysis of a patient's coronary arteries and myocardial wall
Systems and methods for four-dimensional analysis of a patient's coronary arteries and myocardial wall. An example method includes accessing angiographic x-ray images of one or more arteries, with the x-ray images depicting the arteries from respective angles, with each x-ray image being associated with a cardiac phase of cardiac phases, and with the cardiac phases being included in a cardiac cycle. A three-dimensional model of the arteries is generated for each cardiac phase based on a subset of the x-ray images which are associated with the cardiac phase. A four-dimensional representation of the arteries is generated throughout the cardiac cycle based on the three-dimensional models for the cardiac phase. Information associated with the four-dimensional presentation is presented.
A method and apparatus for vascular assessment are disclosed. The apparatus, in some embodiments, receives, from a medical imaging device, a medical image of a coronary vessel tree of a subject and calculates a plurality of geometric measurements associated with individual portions of a vascular segment of the coronary vessel tree. The apparatus also determines a plurality of resistances associated with the plurality of geometric measurements associated with the individual portions of the vascular segment and determines a plurality of pressure drops across the individual portions of the vascular segment based on the determined resistances and a calculated or estimated blood flow. The apparatus further calculates based on the plurality of pressure drops, a functional index indicative of a presence or an absence of a stenosis within the vascular segment.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/021 - Measuring pressure in heart or blood vessels
A61B 6/46 - Arrangements for interfacing with the operator or the patient
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61M 5/00 - Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular wayAccessories therefor, e.g. filling or cleaning devices, arm rests
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
17.
VASCULAR CHARACTERISTIC DETERMINATION WITH CORRESPONDENCE MODELING OF A VASCULAR TREE
Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of “virtual revascularization” of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.
A61B 6/46 - Arrangements for interfacing with the operator or the patient
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
18.
METHODS AND APPARATUS FOR ANGIOGRAPHIC IMAGE SELECTION
The disclosure relates to a method and apparatus for selecting (i) an imaging angle with minimized foreshortening and/or overlap of a target region from one of a plurality of an existing angiographic images and/or (ii) selecting an imaging angle for new images so that foreshortening and/or overlap are minimized. In some embodiments, a viewing angle cost function is determined that defines one or more optimal viewing angles at least with respect to minimizing foreshortening of the target region. Using the cost function, an image may be selected from among the plurality of images, which potentially does not match the optimal imaging angle due to the optimal imaging angle having a high cost as a result of overlapping vascular features. The selected image may have an imaging angle that corresponds to a lower cost due to less overlap compared to the optimal imaging angle.
G06T 7/70 - Determining position or orientation of objects or cameras
G06V 10/22 - Image preprocessing by selection of a specific region containing or referencing a patternLocating or processing of specific regions to guide the detection or recognition
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
19.
METHODS, APPARATUS, AND SYSTEM FOR SYNCHRONIZATION BETWEEN A THREE-DIMENSIONAL VASCULAR MODEL AND AN IMAGING DEVICE
An apparatus for synchronizing a three-dimensional model of a patient's coronary arteries with an orientation of a medical imaging device is disclosed. In an example, an apparatus is configured to receive an indication that a three-dimensional model has been rotated. The indication includes a number of degrees of rotation of the three-dimensional model along a roll and/or pitch axis. The processor uses a correlation or transfer function to determine a rotational angulation position of the medical imaging device based on the number of degrees of rotation of the three-dimensional model along the roll and/or pitch axis. The processor transmits a command or instruction to the medical imaging device that is indicative of the desired rotational angulation position, thereby causing the medical imaging device to rotate to the desired position.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing medical and scientific research information and clinical trials for others in the field of medical software for use in the treatment and diagnosis of cardiovascular and vascular diseases, illnesses and conditions
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing medical and scientific research information and clinical trials for others in the field of medical software for use in the treatment and diagnosis of cardiovascular and vascular diseases, illnesses and conditions
22.
Enhanced user interface and crosstalk analysis for vascular index measurement
Systems and methods for enhanced user interface and crosstalk analysis for cardiac index determination. An example method includes accessing a cardiac model of a portion of a patient's heart, the portion including one or more vessels of the patient's heart, and the cardiac model indicating a plurality of lesions along a length of at least one of the vessels; obtaining, based on the cardiac model for the lesions, respective positions along the length for which the lesions are associated with index drops, wherein the index drops are with respect to an index indicative of vascular function; and causing presentation of a user interface, wherein the user interface: presents a graph mapping the length to the index indicative of vascular function, presents individual toggles enabling nulling of individual lesions, and updates the graph in response to received user input to one or more of the toggles, wherein the user input nulls effects of one or more lesions.
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
A61B 34/00 - Computer-aided surgeryManipulators or robots specially adapted for use in surgery
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
23.
ENHANCED USER INTERFACE AND CROSSTALK ANALYSIS FOR VASCULAR INDEX MEASUREMENT
Systems and methods for enhanced user interface and crosstalk analysis for cardiac index determination. An example method includes accessing a cardiac model of a portion of a patient's heart, the portion including one or more vessels of the patient's heart, and the cardiac model indicating a plurality of lesions along a length of at least one of the vessels; obtaining, based on the cardiac model for the lesions, respective positions along the length for which the lesions are associated with index drops, wherein the index drops are with respect to an index indicative of vascular function; and causing presentation of a user interface, wherein the user interface: presents a graph mapping the length to the index indicative of vascular function, presents individual toggles enabling nulling of individual lesions, and updates the graph in response to received user input to one or more of the toggles, wherein the user input nulls effects of one or more lesions.
G06T 19/20 - Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
G16H 40/63 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16H 40/60 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
Systems and methods for post-PCI coronary analysis. An example method includes accessing a plurality of angiographic images depicting at least one vessel of a patient's heart, the angiographic images including two or more post-percutaneous coronary intervention (post-PCI) images and one or more diagnostic images, wherein the post-PCI images depict a PCI location in which a PCI is included to revascularize a lesion, and wherein the diagnostic images depict the lesion; receiving, via a user interface presenting the post-PCI images, user input specifying positions of the PCI location in the post-PCI images; determining an index indicative of vascular function based on the angiographic images, wherein the index is derived based on a three-dimensional model of the portion of the patient's heart, and wherein individual portions of the diagnostic images depicting the lesion are masked during generation of three-dimensional model; and presenting, via the user interface, summary information associated with PCI, the summary information including at least the determined index.
G16H 50/20 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
A61B 5/021 - Measuring pressure in heart or blood vessels
Systems and methods for post-PCI coronary analysis. An example method includes accessing a plurality of angiographic images depicting at least one vessel of a patient's heart, the angiographic images including two or more post-percutaneous coronary intervention (post-PCI) images and one or more diagnostic images, wherein the post-PCI images depict a PCI location in which a PCI is included to revascularize a lesion, and wherein the diagnostic images depict the lesion; receiving, via a user interface presenting the post-PCI images, user input specifying positions of the PCI location in the post-PCI images; determining an index indicative of vascular function based on the angiographic images, wherein the index is derived based on a three-dimensional model of the portion of the patient's heart, and wherein individual portions of the diagnostic images depicting the lesion are masked during generation of three-dimensional model; and presenting, via the user interface, summary information associated with PCI, the summary information including at least the determined index.
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
Methods and systems for manually assisted definition of vascular features are described. In some embodiments, a method provides for editing of vascular paths by enabling a user to drag an erroneously segmented region of a selected vascular path into alignment with a more correctly segmented position that is depicted as a blood vessel in a vascular image. The method may use an energy function, defined as a function of position along the segmentation of the selected blood vessel, to determine how a vascular path is to be moved based on dragging motions provided by the user. In some instances, non-zero regions of the energy function are set based on the position of the selected region.
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of “virtual revascularization” of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 6/02 - Arrangements for diagnosis sequentially in different planesStereoscopic radiation diagnosis
A61B 6/46 - Arrangements for interfacing with the operator or the patient
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a processor configured to obtain a computerized model of a plurality of vascular segments of a patient and create an unstenosed computerized model from the computerized model by virtually enlarging at least some locations of the vascular segments of the computerized model. The processor also determines vascular state scoring tool (“VSST”) scores based on characteristics of vascular locations along the vascular segments. The processor further determines a severity of stenosis for the vascular locations based on comparisons of first blood flow parameter values at the vascular locations in the computerized model to corresponding second blood flow parameter values at the same vascular locations in the unstenosed computerized model. A user interface of the device displays the severity of stenosis in conjunction with the VSST scores for the vascular locations.
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
29.
System and method for machine-learning based sensor analysis and vascular tree segmentation
Methods for automated identification of vascular features are described. In some embodiments, one or more machine learning (ML)-based vascular classifiers are used, with their results being combined to with results of at least one other vascular classifier in order to produce the final results. Potentially advantages of this approach include the ability to combine certain strengths of ML classifiers with segmentation approaches based on more classical (“formula-based”) methods. These strengths may include particularly the identification of anatomically identified targets mixed within an image also showing similar looking but anatomically distinct targets.
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
A method and apparatus for vascular assessment are disclosed. The apparatus, in some embodiments, receives, from a medical imaging device, a medical image of a coronary vessel tree of a subject and calculates a plurality of geometric measurements associated with individual portions of a vascular segment of the coronary vessel tree. The apparatus also determines a plurality of resistances associated with the plurality of geometric measurements associated with the individual portions of the vascular segment and determines a plurality of pressure drops across the individual portions of the vascular segment based on the determined resistances and a calculated or estimated blood flow. The apparatus further calculates based on the plurality of pressure drops, a functional index indicative of a presence or an absence of a stenosis within the vascular segment.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 6/02 - Arrangements for diagnosis sequentially in different planesStereoscopic radiation diagnosis
A61B 6/46 - Arrangements for interfacing with the operator or the patient
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61M 5/00 - Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular wayAccessories therefor, e.g. filling or cleaning devices, arm rests
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/021 - Measuring pressure in heart or blood vessels
Methods for automated identification of vascular features are described. In some embodiments, one or more machine learning (ML)-based vascular classifiers are used, with their results being combined to with results of at least one other vascular classifier in order to produce the final results. Potentially advantages of this approach include the ability to combine certain strengths of ML classifiers with segmentation approaches based on more classical ("formula-based") methods. These strengths may include particularly the identification of anatomically identified targets mixed within an image also showing similar looking but anatomically distinct targets.
A method for vascular assessment is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method, in some embodiments, further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G06T 7/55 - Depth or shape recovery from multiple images
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
An apparatus for performing a vascular assessment is disclosed. The apparatus creates a three-dimensional model that is representative of a coronary vessel tree of a patient based on at least two angiographic images. The apparatus estimates first blood flow resistance values for points along at least some vascular segments of the coronary vessel tree using vascular geometrical dimensions of the three-dimensional model. The apparatus also estimates second blood flow resistance values for the points along the at least some vascular segments of the coronary vessel tree using a volume of a crown of the vascular segment downstream from the respective point. The apparatus determines fractional flow reserve (“FFR”) by calculating a ratio of the first blood flow resistance values and the second blood flow resistance values at each of the points along the at least some vascular segments of the coronary vessel tree.
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 6/02 - Arrangements for diagnosis sequentially in different planesStereoscopic radiation diagnosis
A61B 6/46 - Arrangements for interfacing with the operator or the patient
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
A61M 5/00 - Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular wayAccessories therefor, e.g. filling or cleaning devices, arm rests
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/021 - Measuring pressure in heart or blood vessels
A method and apparatus for vascular assessment are disclosed. The apparatus, in some embodiments, receives, from a medical imaging device, a medical image of a coronary vessel tree of a subject and calculates a plurality of geometric measurements associated with individual portions of a vascular segment of the coronary vessel tree. The apparatus also determines a plurality of resistances associated with the plurality of geometric measurements associated with the individual portions of the vascular segment and determines a plurality of pressure drops across the individual portions of the vascular segment based on the determined resistances and a calculated or estimated blood flow. The apparatus further calculates based on the plurality of pressure drops, a functional index indicative of a presence or an absence of a stenosis within the vascular segment.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
G06T 7/55 - Depth or shape recovery from multiple images
A61M 5/00 - Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular wayAccessories therefor, e.g. filling or cleaning devices, arm rests
Methods and apparatus for determining a functional impact of vascular lesions are disclosed. An example method includes calculating estimates of a single functional blood flow metric (for example, fractional flow reserve calculated from angiographic images) for multiple locations in each of a plurality of connected vascular branches. The method includes converting these estimates into FFR impact scores, which are indicative of the overall impact of occlusive vascular disease on the connected vascular branches.
An apparatus for synchronizing a three-dimensional model of a patient's coronary arteries with an orientation of a medical imaging device is disclosed. In an example, an apparatus is configured to receive an indication that a three-dimensional model has been rotated. The indication includes a number of degrees of rotation of the three-dimensional model along a roll and/or pitch axis. The processor uses a correlation or transfer function to determine a rotational angulation position of the medical imaging device based on the number of degrees of rotation of the three-dimensional model along the roll and/or pitch axis. The processor transmits a command or instruction to the medical imaging device that is indicative of the desired rotational angulation position, thereby causing the medical imaging device to rotate to the desired position.
An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a processor configured to obtain a computerized model of a plurality of vascular segments of a patient and create an unstenosed computerized model from the computerized model by virtually enlarging at least some locations of the vascular segments of the computerized model. The processor also determines vascular state scoring tool (“VSST”) scores based on characteristics of vascular locations along the vascular segments. The processor further determines a severity of stenosis for the vascular locations based on comparisons of first blood flow parameter values at the vascular locations in the computerized model to corresponding second blood flow parameter values at the same vascular locations in the unstenosed computerized model. A user interface of the device displays the severity of stenosis in conjunction with the VSST scores for the vascular locations.
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
38.
Methods and apparatus for angiographic image selection
A method and apparatus for selecting (i) an imaging angle with minimized foreshortening and/or overlap of a target region from an existing angiographic image and/or (ii) selecting an imaging angle for new images so that foreshortening and/or overlap are minimized. A viewing angle cost function is determined that defines optimal viewing angles at least with respect to minimizing foreshortening of the target region. Using the cost function, an image may be selected from among a set of images, which potentially does not match the optimal imaging angle due to the optimal imaging angle having a high cost as a result of overlapping vascular features. The selected image may have an imaging angle that corresponds to a lower cost due to less overlap compared to the optimal imaging angle.
G06T 7/70 - Determining position or orientation of objects or cameras
G06V 10/22 - Image preprocessing by selection of a specific region containing or referencing a patternLocating or processing of specific regions to guide the detection or recognition
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
Methods and systems for manually assisted definition of vascular features are described. In some embodiments, a method provides for editing of vascular paths by enabling a user to drag an erroneously segmented region of a selected vascular path into alignment with a more correctly segmented position that is depicted as a blood vessel in a vascular image. The method may use an energy function, defined as a function of position along the segmentation of the selected blood vessel, to determine how a vascular path is to be moved based on dragging motions provided by the user. In some instances, non-zero regions of the energy function are set based on the position of the selected region.
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 6/50 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body partsApparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific clinical applications
Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of “virtual revascularization” of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 6/02 - Arrangements for diagnosis sequentially in different planesStereoscopic radiation diagnosis
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Recorded computer software for use in the treatment and/or diagnosis of cardiovascular and vascular diseases, illnesses and conditions Software as a service (SAAS) services featuring software for use in the treatment and/or diagnosis of cardiovascular and vascular diseases, illnesses and conditions
A method and apparatus for vascular assessment are disclosed. The apparatus, in some embodiments, receives a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processes the images to produce a stenotic model over the vasculature. The stenotic model has measurements of the vasculature at one or more locations along vessels of the vasculature. The apparatus, in some embodiments, determines a flow characteristic of the stenotic model and calculates an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
G06T 7/55 - Depth or shape recovery from multiple images
A61M 5/00 - Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular wayAccessories therefor, e.g. filling or cleaning devices, arm rests
Systems and methods are described for the compositing together of model-linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 8/12 - Diagnosis using ultrasonic, sonic or infrasonic waves in body cavities or body tracts, e.g. by using catheters
A61B 34/00 - Computer-aided surgeryManipulators or robots specially adapted for use in surgery
A61B 5/021 - Measuring pressure in heart or blood vessels
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
44.
METHODS, APPARATUS, AND SYSTEM FOR SYNCHRONIZATION BETWEEN A THREE-DIMENSIONAL VASCULAR MODEL AND AN IMAGING DEVICE
An apparatus for synchronizing a three-dimensional model of a patient's coronary arteries with an orientation of a medical imaging device is disclosed. In an example, an apparatus is configured to receive an indication that a three-dimensional model has been rotated. The indication includes a number of degrees of rotation of the three-dimensional model along a roll and/or pitch axis. The processor uses a correlation or transfer function to determine a rotational angulation position of the medical imaging device based on the number of degrees of rotation of the three-dimensional model along the roll and/or pitch axis. The processor transmits a command or instruction to the medical imaging device that is indicative of the desired rotational angulation position, thereby causing the medical imaging device to rotate to the desired position.
Methods and apparatus for determining a functional impact of vascular lesions are disclosed. An example method includes calculating estimates of a single functional blood flow metric (for example, fractional flow reserve calculated from angiographic images) for multiple locations in each of a plurality of connected vascular branches. The method includes converting these estimates into FFR impact scores, which are indicative of the overall impact of occlusive vascular disease on the connected vascular branches.
The disclosure relates to a method and apparatus for selecting (i) an imaging angle with minimized foreshortening and/or overlap of a target region from one of a plurality of an existing angiographic images and/or (ii) selecting an imaging angle for new images so that foreshortening and/or overlap are minimized. In some embodiments, a viewing angle cost function is determined that defines one or more optimal viewing angles at least with respect to minimizing foreshortening of the target region. Using the cost function, an image may be selected from among the plurality of images, which potentially does not match the optimal imaging angle due to the optimal imaging angle having a high cost as a result of overlapping vascular features. The selected image may have an imaging angle that corresponds to a lower cost due to less overlap compared to the optimal imaging angle.
A method for vascular assessment is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method, in some embodiments, further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G06T 7/55 - Depth or shape recovery from multiple images
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a processor configured to obtain a computerized model of a plurality of vascular segments of a patient and create an unstenosed computerized model from the computerized model by virtually enlarging at least some locations of the vascular segments of the computerized model. The processor also determines vascular state scoring tool (“VSST”) scores based on characteristics of vascular locations along the vascular segments. The processor further determines a severity of stenosis for the vascular locations based on comparisons of first blood flow parameter values at the vascular locations in the computerized model to corresponding second blood flow parameter values at the same vascular locations in the unstenosed computerized model. A user interface of the device displays the severity of stenosis in conjunction with the VSST scores for the vascular locations.
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16Z 99/00 - Subject matter not provided for in other main groups of this subclass
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A method for real-time vascular modeling and assessment is disclosed. Modeling, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels and construct 3-D vascular extents and determine other vascular characteristics. Assessment, in some embodiments, comprises processing models selectively different from one another to produce one or more vascular indexes which indicate a diagnostic preference, for example, to perform a medical intervention such as a stent implantation. Speed is achieved, for example, by the method being optimized for determining the effects of a medical intervention. In some embodiments, results are produced quickly enough to allow use of the method to perform PCI within the same catheterization used to perform diagnostic imaging.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
G06T 7/55 - Depth or shape recovery from multiple images
A61M 5/00 - Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular wayAccessories therefor, e.g. filling or cleaning devices, arm rests
Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of “virtual revascularization” of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
Methods of and systems for reconstructing a vascular tree shape from vascular segments imaged in a single source 2-D projection image are described. A structuring shape comprising spatial positions of reference anatomical elements is defined, such as vascular segments in the definition of a 3-D surface model corresponding to a surface defined by an anatomical structure such as a body organ (e.g., heart). The 3-D surface model is used to create a 3-D model of anatomical elements (e.g., additional vascular segments of a cardiac vasculature) imaged in a source 2-D projection image, by back-projection to the 3-D surface model. The 3-D surface model is optionally aligned by first aligning the source 2-D projection image to the structuring shape. In some embodiments, the source 2-D projection image is registered to the 3-D surface model through the structuring shape by the source image's initial use in defining the structuring shape.
Methods and systems for manually assisted definition of vascular features are described. In some embodiments, a method provides for editing of vascular paths by enabling a user to drag an erroneously segmented region of a selected vascular path into alignment with a more correctly segmented position that is depicted as a blood vessel in a vascular image. The method may use an energy function, defined as a function of position along the segmentation of the selected blood vessel, to determine how a vascular path is to be moved based on dragging motions provided by the user. In some instances, non-zero regions of the energy function are set based on the position of the selected region.
A vascular assessment apparatus is disclosed. The apparatus is configured to receive medical images of a coronary vessel tree of a subject from a medical imaging device and analyze the medical images to identify vessel segments within the coronary vessel tree. For each identified vessel segment, the apparatus is configured to determine flow rates at each identified vessel segment and calculate an index indicative of vascular function based on the determined flow rates.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
A61B 5/021 - Measuring pressure in heart or blood vessels
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
Systems and methods are described for the compositing together of model-linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 5/0215 - Measuring pressure in heart or blood vessels by means inserted into the body
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 8/00 - Diagnosis using ultrasonic, sonic or infrasonic waves
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16H 30/40 - ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
A61B 5/0205 - Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
A61B 8/12 - Diagnosis using ultrasonic, sonic or infrasonic waves in body cavities or body tracts, e.g. by using catheters
A61B 34/00 - Computer-aided surgeryManipulators or robots specially adapted for use in surgery
A61B 5/021 - Measuring pressure in heart or blood vessels
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
55.
Automated measurement system and method for coronary artery disease scoring
An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a stenosis determiner configured to receive a computerized model of a plurality of vascular segments of a patient, and analyze the model to determine locations of potential lesions. The example device further includes a vascular state score calculator configured to, for each potential lesion, determine a vascular state scoring tool (“VSST”) score based on at least one of a size of the potential lesion, a distance of the potential lesion from a branch point in the plurality of vascular segments, and a distance of the potential lesion to an adjacent potential lesion. The example device also includes a user interface configured to display the VSST scores for the potential lesions.
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A method for real-time vascular modeling and assessment is disclosed. Modeling, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels and construct 3-D vascular extents and determine other vascular characteristics. Assessment, in some embodiments, comprises processing models selectively different from one another to produce one or more vascular indexes which indicate a diagnostic preference, for example, to perform a medical intervention such as a stent implantation. Speed is achieved, for example, by the method being optimized for determining the effects of a medical intervention. In some embodiments, results are produced quickly enough to allow use of the method to perform PCI within the same catheterization used to perform diagnostic imaging.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A vascular assessment apparatus is disclosed. The apparatus is configured to receive medical images of a coronary vessel tree of a subject from a medical imaging device and analyze the medical images to identify vessel segments within the coronary vessel tree. For each identified vessel segment, the apparatus is configured to analyze portions of the segment to determine at least one of a radius, diameter, or cross-sectional area of the vessel segment at the analyzed portions, determine resistances for the analyzed portions of the vessel segment based the radius, diameter, or the cross-sectional area at the analyzed portions, and combine the determined resistances for the analyzed portions of the vessel segment to determine a total resistance of the identified vessel segment. The example apparatus is also configured to determine flow rates at each identified vessel segment and calculate an index indicative of vascular function based on the determined flow rates.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
An automated measurement device and method for coronary artery disease scoring is disclosed. An example device includes a vascular tree reconstructor configured to receive vascular image data of a plurality of vascular segments of a patient and create a computerized model of the plurality of vascular segments by combining the vascular image data. The example device also includes a stenosis determiner configured to analyze the model to determine locations of potential lesions. The example device further includes a vascular state score calculator configured to, for each potential lesion, determine a first vascular state scoring tool “VSST”) subscore based on a size of the potential lesion and a second VSST subscore based on a distance of the potential lesion from a branch point in the plurality of vascular segment. The vascular state score calculator calculates a total VSST score by combining the first VSST subscore and the second VSST subscore.
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 34/10 - Computer-aided planning, simulation or modelling of surgical operations
Methods of and systems for reconstructing a vascular tree shape from vascular segments imaged in a single source 2-D projection image are described. A structuring shape comprising spatial positions of reference anatomical elements is defined, such as vascular segments in the definition of a 3-D surface model corresponding to a surface defined by an anatomical structure such as a body organ (e.g., heart). The 3-D surface model is used to create a 3-D model of anatomical elements (e.g., additional vascular segments of a cardiac vasculature) imaged in a source 2-D projection image, by back-projection to the 3-D surface model. The 3-D surface model is optionally aligned by first aligning the source 2-D projection image to the structuring shape. In some embodiments, the source 2-D projection image is registered to the 3-D surface model through the structuring shape by the source image's initial use in defining the structuring shape.
Methods and systems for manually assisted definition of vascular features are described. In some embodiments, vascular centerlines identified by image analysis are divided into segments. Optionally, one or more candidate paths extending to the vascular root position along chains of segments are generated for each of a plurality of vascular endpoint. Selection of paths which correspond to anatomical paths of blood flow is optionally based on manual review. Optionally, paths are manually defined, for example, based on selection of a plurality of waypoints. Optionally, paths are edited by use of an active contour method that allows relative rough indication of corrections to be transformed into path changes that conform closely to the geometry of nearby vasculature.
Systems and methods are described for the compositing together of model-linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.
A61B 8/12 - Diagnosis using ultrasonic, sonic or infrasonic waves in body cavities or body tracts, e.g. by using catheters
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A method for vascular modeling is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels. In some embodiments, projection and/or image registration is iteratively altered to improve feature position matching. Based on 3-D vascular extents and their registration to 2-D images, additional features such as vascular width are optionally determined and added to the model.
A61M 5/00 - Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular wayAccessories therefor, e.g. filling or cleaning devices, arm rests
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A61B 6/02 - Arrangements for diagnosis sequentially in different planesStereoscopic radiation diagnosis
A method for vascular assessment is disclosed. The method includes receiving a plurality of medical images of a portion of a vasculature of a subject and processing the medical images to produce a model of the vasculature. The method further includes obtaining a flow characteristic of the model and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the model.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
42 - Scientific, technological and industrial services, research and design
Goods & Services
Software as a service (SAAS) services featuring software for use in the treatment and diagnosis of cardiovascular and vascular diseases, illnesses and conditions
Methods and systems for manually assisted definition of vascular features are described. In some embodiments, vascular centerlines identified by image analysis are divided into segments. Optionally, one or more candidate paths extending to the vascular root position along chains of segments are generated for each of a plurality of vascular endpoint. Selection of paths which correspond to anatomical paths of blood flow is optionally based on manual review. Optionally, paths are manually defined, for example, based on selection of a plurality of waypoints. Optionally, paths are edited by use of an active contour method that allows relative rough indication of corrections to be transformed into path changes that conform closely to the geometry of nearby vasculature.
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
Systems and methods are described for the compositing together of model- linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software for use in the treatment and/or diagnosis
of cardiovascular and vascular diseases, illnesses and
conditions. Software as a service (SAAS) services featuring software for
use in the treatment and/or diagnosis of cardiovascular and
vascular diseases, illnesses and conditions.
69.
Vascular characteristic determination with correspondence modeling of a vascular tree
Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of “virtual revascularization” of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 6/02 - Arrangements for diagnosis sequentially in different planesStereoscopic radiation diagnosis
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software for use in the treatment and/or diagnosis of cardiovascular and vascular diseases, illnesses and conditions Software as a service (SAAS) services featuring software for use in the treatment and/or diagnosis of cardiovascular and vascular diseases, illnesses and conditions
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computer software for use in the treatment and/or diagnosis of cardiovascular and vascular diseases, illnesses and conditions. Software as a service (SAAS) services featuring software for use in the treatment and/or diagnosis of cardiovascular and vascular diseases, illnesses and conditions.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Recorded computer software for use in the treatment and diagnosis of cardiovascular and vascular diseases, illnesses and conditions Software as a service (SAAS) services featuring software for use in the treatment and diagnosis of cardiovascular and vascular diseases, illnesses and conditions
A method for vascular assessment is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method, in some embodiments, further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.
A method for vascular modeling is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels. In some embodiments, projection and/or image registration is iteratively altered to improve feature position matching. Based on 3-D vascular extents and their registration to 2-D images, additional features such as vascular width are optionally determined and added to the model.
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A61M 5/00 - Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular wayAccessories therefor, e.g. filling or cleaning devices, arm rests
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
Method for real-time vascular modeling and assessment. Modeling, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels and construct 3-D vascular extents and determine other vascular characteristics. Assessment, in some embodiments, comprises processing models selectively different from one another to produce one or more vascular indexes which indicate a diagnostic preference, for example, to perform a medical intervention such as a stent implantation. Speed is achieved, for example, by the method being optimized for determining the effects of a medical intervention. In some embodiments, results are produced quickly enough to allow use of the method to perform PCI within the same catheterization used to perform diagnostic imaging.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
G16H 50/50 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
G16H 30/20 - ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
A61B 5/021 - Measuring pressure in heart or blood vessels
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
Automated image analysis used in vascular disease characterization. Coronary vasculature in particular is automatically characterized in some embodiments for lesion complexity and related anatomical and/or functional parameters related to disease state. In some embodiments, a “virtual revascularization” model is used as a reference in disease state determinations. In some embodiments, disease parameters are determined for application by a disease characterization tool such as a SYNTAX Score calculator.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of "virtual revascularization" of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A method for vascular assessment is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method, in some embodiments, further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
Method for real-time vascular modeling and assessment. Modeling, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels and construct 3-D vascular extents and determine other vascular characteristics. Assessment, in some embodiments, comprises processing models selectively different from one another to produce one or more vascular indexes which indicate a diagnostic preference, for example, to perform a medical intervention such as a stent implantation. Speed is achieved, for example, by the method being optimized for determining the effects of a medical intervention. In some embodiments, results are produced quickly enough to allow use of the method to perform PCI within the same catheterization used to perform diagnostic imaging.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A method for vascular modeling is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to automatically detect 2-D features, for example, paths along vascular extents, which are projected into 3-D to determine homologous features among blood vessels. In some embodiments, projection and/or image registration is iteratively altered to improve feature position matching. Based on 3-D vascular extents and their registration to 2-D images, additional features such as vascular width are optionally determined and added to the model.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A method for vascular assessment is disclosed. The method comprises receiving a plurality of 2D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.
G06K 9/00 - Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
A61B 6/00 - Apparatus or devices for radiation diagnosisApparatus or devices for radiation diagnosis combined with radiation therapy equipment
A61B 5/107 - Measuring physical dimensions, e.g. size of the entire body or parts thereof
A61B 5/02 - Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
Automated image analysis used in vascular disease characterization. Coronary vasculature in particular is automatically characterized in some embodiments for lesion complexity and related anatomical and/or functional parameters related to disease state. In some embodiments, a "virtual revascularization" model is used as a reference in dis- ease state determinations. In some embodiments, disease parameters are determined for application by a disease characterization tool such as a SYNTAX Score calculator.
G06F 19/00 - Digital computing or data processing equipment or methods, specially adapted for specific applications (specially adapted for specific functions G06F 17/00;data processing systems or methods specially adapted for administrative, commercial, financial, managerial, supervisory or forecasting purposes G06Q;healthcare informatics G16H)
