The present disclosure describes a device, system, and methods for low-field magnetic resonance (MR) imaging. For example, a method for low-field MR imaging can include projecting a primary static magnetic field in a field of view, projecting a secondary static magnetic field to pre-polarize a first fluid moving toward the field of view, and acquiring a first image of the first fluid in the field of view based on a first RF pulse sequence. The method can further include projecting a tertiary static magnetic field to pre-polarize a second fluid moving toward the field of view and acquiring a second image of the second fluid in the field of view based on a second RF pulse sequence. The first image can be subtracted from the second image to generate a flow image of an object of interest positioned in the field of view.
Disclosed is a system comprising a database storing a preoperative high-resolution image of an object of interest and a control circuit. The control circuit comprises a processor and a memory. The memory stores instructions executable by the processor to obtain a low-field strength magnetic resonance image of the object of interest. The memory stores further instructions executable by the processor to input the low-field strength MRI of the object of interest into a generator model of a pre-trained generative adversarial network. The generator model is pre-trained with low-field strength MRIs and paired high-resolution images to correct image distortions. The memory stores further instructions executable by the processor to output a distortion-corrected image of the object of interest from the generator model based on the low-field strength MRI and transmit the distortion-corrected image of the object of interest to a user interface.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G01R 33/44 - Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
Disclosed is a system comprising a database storing a preoperative high-resolution image of an object of interest and a control circuit. The control circuit comprises a processor and a memory. The memory stores instructions executable by the processor to obtain a low-field strength magnetic resonance image of the object of interest. The memory stores further instructions executable by the processor to input the low-field strength MRI of the object of interest into a generator model of a pre-trained generative adversarial network. The generator model is pre-trained with low-field strength MRIs and paired high-resolution images to correct image distortions. The memory stores further instructions executable by the processor to output a distortion-corrected image of the object of interest from the generator model based on the low-field strength MRI and transmit the distortion-corrected image of the object of interest to a user interface.
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
4.
ACTIVE SHIMMING FOR LOW-FIELD MAGNETIC RESONANCE IMAGING
00 having a low field strength. A method for active shimming the MRI system can include a set of candidate shimming configurations with first current values associated with the first gradient coil, second current values associated with the second gradient coil, and third current values associated with the third gradient coil. The method further includes applying, for each candidate shimming configuration, a pulse sequence; acquiring, for each pulse sequence, a magnetic resonance (MR) signal; determining, for each MR signal, a signal bandwidth based on a frequency domain of the MR signal; and designating a shimming configuration for the MRI system.
The present disclosure provides systems and methods for removing electromagnetic interference from low-field magnetic resonance images. In one aspect, a method can include projecting a low-field strength magnetic field toward an object of interest located within a field of view and transmitting a radio frequency pulse sequence to a radio frequency coil assembly configured to selectively excite magnetization in the object of interest within the field of view. The method can further include receiving an output signal from the radio frequency coil assembly during a signal acquisition period and receiving a sample signal from the radio frequency coil assembly during an interference period. The method can further include comparing the output signal and the sample signal to identify an interference component and adjusting the output signal based on the interference component.
The present disclosure provides various devices, systems, and methods for active shimming for an MRI system. For example, an MRI system can a first gradient coil, a second gradient coil, a third gradient coil, and a permanent magnet. The permanent magnet is configured to generate a magnetic field B0 having a low field strength. A method for active shimming the MRI system can include a set of candidate shimming configurations with first current values associated with the first gradient coil, second current values associated with the second gradient coil, and third current values associated with the third gradient coil. The method further includes applying, for each candidate shimming configuration, a pulse sequence; acquiring, for each pulse sequence, a magnetic resonance (MR) signal; determining, for each MR signal, a signal bandwidth based on a frequency domain of the MR signal; and designating a shimming configuration for the MRI system.
G01R 33/3873 - Compensation of inhomogeneities using ferromagnetic bodies
G01R 33/3875 - Compensation of inhomogeneities using correction coil assemblies, e.g. active shimming
G01R 33/565 - Correction of image distortions, e.g. due to magnetic field inhomogeneities
G01R 33/24 - Arrangements or instruments for measuring magnetic variables involving magnetic resonance for measuring direction or magnitude of magnetic fields or magnetic flux
8.
ITERATIVE SHIMMING FOR LOW-FIELD HEAD-OPTIMIZED MRI
The present disclosure provides various devices, systems, and methods for iterative shimming in magnetic resonance imaging (MRI). In one aspect, a method of iterative shimming can include generating a field map of a magnetic field B0 from an MRI system. The MRI system can include a shim tray and an array of permanent magnets to generate the magnetic field B0. The shim tray can include slots to receive shim magnets. The method can further include shimming the MRI system by iteratively: applying the field map to a genetic algorithm to determine a set of slots to receive a set of shim magnets, installing the set of shim magnets in the set of slots, generating a next field map of the magnetic field B0, and either performing a next iteration based on the next field map or determining to not perform the next iteration based on the next field map.
A system can include a magnetic resonance imaging (MRI) scanner and a surgical robot. The MRI scanner can include a permanent magnet array define a dome to surround an imaging region, or region of interest. The MRI scanner can be configured to generate an image of an anatomical structure (e.g. the head of a patient) positioned within the dome and imaging region thereof. The MRI scanner can include an opening for accessing the head of the patient. The surgical robot can include robotic arm. The surgical robot can be mounted to the MRI scanner. The surgical robot can be configured to pass through the opening to perform a surgical procedure on the patient.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
10.
A SYSTEM AND METHOD OF MERGING A CO-OPERATIVE MR-COMPATIBLE ROBOT AND A LOW-FIELD PORTABLE MRI SYSTEM
A system can include a magnetic resonance imaging (MRI) scanner and a surgical robot. The MRI scanner can include a permanent magnet array define a dome to surround an imaging region, or region of interest. The MRI scanner can be configured to generate an image of an anatomical structure (e.g. the head of a patient) positioned within the dome and imaging region thereof. The MRI scanner can include an opening for accessing the head of the patient. The surgical robot can include robotic arm. The surgical robot can be mounted to the MRI scanner. The surgical robot can be configured to pass through the opening to perform a surgical procedure on the patient.
A61B 34/20 - Surgical navigation systemsDevices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
Various systems and methods for T2-weighted and/or diffusion weighted chirped-CPMG sequences are disclosed herein. In one aspect, a method can include projecting a magnetic field along a longitudinal axis and toward an object of interest and transmitting a radio frequency pulse sequence to a radio frequency coil assembly configured to selectively excite magnetization in the object of interest. The radio frequency pulse sequence can include a frequency-swept excitation pulse and a series of frequency-swept refocusing pulses following the excitation pulse. In some aspects, the radio frequency pulse sequence can include a frequency-swept recovery pulse following the series of refocusing pulses. In some aspects, the method can include transmitting a preparation radio frequency pulse sequence to the radio frequency coil assembly.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
12.
ACCELERATING MAGNETIC RESONANCE IMAGING USING PARALLEL IMAGING AND ITERATIVE IMAGE RECONSTRUCTION
The present disclosure provides various systems and methods for magnetic resonance imaging. In one aspect, a method for magnetic resonance imaging can include receiving k-space data sets acquired by radiofrequency (RF) coils. Each of the k-space data sets can correspond to a different one of the RF coils. Each of the k-space data sets can be truncated and/or under sampled. The method can further include generating partial images of a field of view based on the k-space data sets and generating an initial image based on the partial images. The initial image can be full image of the field of view. The method can further include applying an iterative image reconstruction technique to generate an updated image based on the initial image.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
13.
Accelerating magnetic resonance imaging using parallel imaging and iterative image reconstruction
The present disclosure provides various systems and methods for magnetic resonance imaging. In one aspect, a method for magnetic resonance imaging can include receiving k-space data sets acquired by radiofrequency (RF) coils. Each of the k-space data sets can correspond to a different one of the RF coils. Each of the k-space data sets can be truncated and/or under sampled. The method can further include generating partial images of a field of view based on the k-space data sets and generating an initial image based on the partial images. The initial image can be full image of the field of view. The method can further include applying an iterative image reconstruction technique to generate an updated image based on the initial image.
Various systems and methods for T2-weighted and/or diffusion weighted chirped-CPMG sequences are disclosed herein. In one aspect, a method can include projecting a magnetic field along a longitudinal axis and toward an object of interest and transmitting a radio frequency pulse sequence to a radio frequency coil assembly configured to selectively excite magnetization in the object of interest. The radio frequency pulse sequence can include a frequency-swept excitation pulse and a series of frequency-swept refocusing pulses following the excitation pulse. In some aspects, the radio frequency pulse sequence can include a frequency-swept recovery pulse following the series of refocusing pulses. In some aspects, the method can include transmitting a preparation radio frequency pulse sequence to the radio frequency coil assembly.
The present disclosure provides magnetic resonance phantom imaging phantoms and method of assembling thereof. In one aspect, a magnetic resonance imaging phantom can include a plurality of modular components. The plurality of modular components can include a first modular component, a second modular component, a shell, and a lid. The second modular component can be different than the first modular component. The shell can be structured to receive at least one modular component. The lid can be attachable to the shell to enclose the at least one modular component received within the shell.
G01V 3/00 - Electric or magnetic prospecting or detectingMeasuring magnetic field characteristics of the earth, e.g. declination or deviation
G01R 33/56 - Image enhancement or correction, e.g. subtraction or averaging techniques
G01R 33/58 - Calibration of imaging systems, e.g. using test probes
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
16.
INTRACRANIAL RADIO FREQUENCY COIL FOR INTRAOPERATIVE MAGNETIC RESONANCE IMAGING
The present disclosure provides systems and methods for magnetic resonance imaging using a radio frequency coil, such as, for example, an intracranial radio frequency coil. In at least one aspect, a system can include a surgical tool and a magnetic resonance imaging system. The surgical tool can include a distal end portion and a radio frequency reception coil attached to the distal end portion. The magnetic resonance imaging system can be configured to project a magnetic field within a field of view and intraoperatively image the radio frequency reception coil in the field of view.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G01R 33/34 - Constructional details, e.g. resonators
17.
DEEP LEARNING SUPER-RESOLUTION TRAINING FOR ULTRA LOW-FIELD MAGNETIC RESONANCE IMAGING
The present disclosure provides systems and methods for deep learning super-resolution training and/or image generation for low-field and ultra-low field magnetic resonance imaging. In some aspects, a method includes obtaining a first image of a brain with a low-field strength magnetic resonance imaging system. The first image has a first resolution. The method further includes obtaining a deep learning brain model based on high-field strength images. The deep learning brain model can be configured to be applied by a neural network comprising a plurality of layers. The method further includes applying the deep learning brain model to the first image to generate a second image of the brain. The second image has a second resolution, and the second resolution is greater than the first resolution.
The present disclosure provides systems and methods for magnetic resonance imaging using a radio frequency coil, such as, for example, an intracranial radio frequency coil. In at least one aspect, a system can include a surgical tool and a magnetic resonance imaging system. The surgical tool can include a distal end portion and a radio frequency reception coil attached to the distal end portion. The magnetic resonance imaging system can be configured to project a magnetic field within a field of view and intraoperatively image the radio frequency reception coil in the field of view.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
19.
MODULARIZED MULTI-PURPOSE MAGNETIC RESONANCE PHANTOM
The present disclosure provides magnetic resonance phantom imaging phantoms and method of assembling thereof. In one aspect, a magnetic resonance imaging phantom can include a plurality of modular components. The plurality of modular components can include a first modular component, a second modular component, a shell, and a lid. The second modular component can be different than the first modular component. The shell can be structured to receive at least one modular component. The lid can be attachable to the shell to enclose the at least one modular component received within the shell.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
20.
DEEP LEARNING SUPER-RESOLUTION TRAINING FOR ULTRA LOW-FIELD MAGNETIC RESONANCE IMAGING
The present disclosure provides systems and methods for deep learning super-resolution training and/or image generation for low-field and ultra-low field magnetic resonance imaging. In some aspects, a method includes obtaining a first image of a brain with a low-field strength magnetic resonance imaging system. The first image has a first resolution. The method further includes obtaining a deep learning brain model based on high-field strength images. The deep learning brain model can be configured to be applied by a neural network comprising a plurality of layers. The method further includes applying the deep learning brain model to the first image to generate a second image of the brain. The second image has a second resolution, and the second resolution is greater than the first resolution.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
21.
SYSTEM AND METHOD FOR REMOVING ELECTROMAGNETIC INTERFERENCE FROM LOW-FIELD MAGNETIC RESONANCE IMAGES
The present disclosure provides systems and methods for removing electromagnetic interference from low-field magnetic resonance images. In one aspect, a method can include projecting a low-field strength magnetic field toward an object of interest located within a field of view and transmitting a radio frequency pulse sequence to a radio frequency coil assembly configured to selectively excite magnetization in the object of interest within the field of view. The method can further include receiving an output signal from the radio frequency coil assembly during a signal acquisition period and receiving a sample signal from the radio frequency coil assembly during an interference period. The method can further include comparing the output signal and the sample signal to identify an interference component and adjusting the output signal based on the interference component.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
22.
System and method for removing electromagnetic interference from low-field magnetic resonance images
The present disclosure provides systems and methods for removing electromagnetic interference from low-field magnetic resonance images. In one aspect, a method can include projecting a low-field strength magnetic field toward an object of interest located within a field of view and transmitting a radio frequency pulse sequence to a radio frequency coil assembly configured to selectively excite magnetization in the object of interest within the field of view. The method can further include receiving an output signal from the radio frequency coil assembly during a signal acquisition period and receiving a sample signal from the radio frequency coil assembly during an interference period. The method can further include comparing the output signal and the sample signal to identify an interference component and adjusting the output signal based on the interference component.
A magnetic resonance imaging (MRI) apparatus is disclosed. The MRI apparatus includes a plurality of magnetic elements affixed in a Halbach dome structure. The Halbach dome structure defines an access aperture configured to allow access to the patient's head to enable neural intervention and defines a patient opening configured to receive a patient's head. In various aspects, the Halbach dome comprises a plurality of access apertures and/or gaps that may be adjustable in size.
A61B 5/055 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
G01R 33/34 - Constructional details, e.g. resonators
G01R 33/3415 - Constructional details, e.g. resonators comprising surface coils comprising arrays of sub-coils
G01R 33/38 - Systems for generation, homogenisation or stabilisation of the main or gradient magnetic field
24.
NEURAL INTERVENTIONAL MAGNETIC RESONANCE IMAGING APPARATUS
A magnetic resonance imaging, MRI, apparatus (1820) is disclosed. The MRI apparatus includes a plurality of magnetic elements (608, 808, 1008, 1608) affixed in a Halbach dome structure (400, 500, 800, 1000, 1200, 1400, 1500, 1600). The Halbach dome structure (400, 500, 800, 1000, 1200, 1400, 1500, 1600) defines an access aperture (402, 502, 810, 1010, 1202, 1406, 1502, 1602) configured to allow access to the patient's head (410, 510, 1404) to enable neural intervention and defines a patient opening configured to receive a patient's head (410, 510, 1404). In various aspects, the Halbach dome (400, 500, 800, 1000, 1200, 1400, 1500, 1600) comprises a plurality of access apertures (402, 1502, 1602) and/or gaps (502) that may be adjustable in size.
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Modular MRI system comprised of medical imaging apparatus
and medical image processors for medical purposes; magnetic
resonance-compatible robotics system comprised of automated
medical imaging apparatus for medical purposes; artificial
intelligence (AI) based computer-aided platform in the
nature of medical imaging apparatus and medical image
processors both with embedded artificial intelligence
software for diagnosis and tissue characterization for
medical purposes. Design, engineering, research, development, laboratory
analysis, testing services in the field of MRI systems and
MRI-based technologies for medical, scientific, and
technological applications. Clinical medical imaging services for interoperative
procedures; guidance support services in the nature of
consultation services in the field of interoperative
surgical procedures.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Modular MRI system comprised of medical imaging apparatus
and medical image processors for medical purposes;
MR-compatible robotics system comprised of automated medical
imaging apparatus for medical purposes; artificial
intelligence (AI) based computer-aided platform comprised of
medical imaging apparatus and medical image processors for
diagnosis and tissue characterization for medical purposes. Design, engineering, research, development, analysis,
testing services in the field of MRI systems and MRI-based
technologies for medical, scientific, and technological
applications; clinical imaging and guidance support services
for interoperative procedures.
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Modular MRI system comprised of medical imaging apparatus and medical image processors for medical purposes; MR-compatible robotics system comprised of automated medical imaging apparatus for medical purposes; artificial intelligence (AI) based computer-aided platform comprised of medical imaging apparatus and medical image processors for diagnosis and tissue characterization for medical purposes. (1) Design, engineering, research, development, analysis, testing services in the field of MRI systems and MRI-based technologies for medical, scientific, and technological applications; clinical imaging and guidance support services for interoperative procedures.
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
(1) Modular MRI system comprised of medical imaging apparatus and medical image processors for medical purposes; magnetic resonance-compatible robotics system comprised of automated medical imaging apparatus for medical purposes; artificial intelligence (AI) based computer-aided platform in the nature of medical imaging apparatus and medical image processors both with embedded artificial intelligence software for diagnosis and tissue characterization for medical purposes. (1) Design, engineering, research, development, laboratory analysis, testing services in the field of MRI systems and MRI-based technologies for medical, scientific, and technological applications.
(2) Clinical medical imaging services for interoperative procedures; guidance support services in the nature of consultation services in the field of interoperative surgical procedures.
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Modular MRI system comprised of medical imaging apparatus and medical image processors for medical purposes; magnetic resonance-compatible robotics system comprised of automated medical imaging apparatus for medical purposes; artificial intelligence (AI) based computer-aided platform in the nature of medical imaging apparatus and medical image processors both with embedded artificial intelligence software for diagnosis and tissue characterization for medical purposes Design, engineering, research, development, laboratory analysis, testing services in the field of MRI systems and MRI-based technologies for medical, scientific, and technological applications Clinical medical imaging services for interoperative procedures; guidance support services in the nature of consultation services in the field of interoperative surgical procedures
42 - Scientific, technological and industrial services, research and design
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
Goods & Services
Modular MRI system comprised of medical imaging apparatus and medical image processors for medical purposes; magnetic resonance-compatible robotics system comprised of automated medical imaging apparatus for medical purposes; artificial intelligence (AI) based computer-aided platform in the nature of medical imaging apparatus and medical image processors both with embedded artificial intelligence software for diagnosis and tissue characterization for medical purposes Design, engineering, research, development, laboratory analysis, testing services in the field of MRI systems and MRI-based technologies for medical, scientific, and technological applications Clinical medical imaging services for interoperative procedures; guidance support services in the nature of consultation services in the field of interoperative surgical procedures