G01R33/20

Intelligent atlas for automatic image analysis of magnetic resonance imaging

A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one substructure; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores an anatomical atlas comprising data encoding spatial information of the at least one substructure in the tissue region, and a pathological atlas corresponding to an abnormality of the tissue region, wherein the signal processing system is adapted to automatically identify, using the imaging signal, the anatomical atlas, and the pathological atlas, a presence of the abnormality or a pre-cursor abnormality in the subject under observation.

Intelligent atlas for automatic image analysis of magnetic resonance imaging

A non-invasive imaging system, including an imaging scanner suitable to generate an imaging signal from a tissue region of a subject under observation, the tissue region having at least one substructure; a signal processing system in communication with the imaging scanner to receive the imaging signal from the imaging scanner; and a data storage unit in communication with the signal processing system, wherein the data storage unit stores an anatomical atlas comprising data encoding spatial information of the at least one substructure in the tissue region, and a pathological atlas corresponding to an abnormality of the tissue region, wherein the signal processing system is adapted to automatically identify, using the imaging signal, the anatomical atlas, and the pathological atlas, a presence of the abnormality or a pre-cursor abnormality in the subject under observation.

Artificial intelligence (AI) based parkinson's disease diagnosing apparatus and method
11013452 · 2021-05-25 · ·

The present invention relates to an artificial intelligence-based Parkinson's disease diagnosing apparatus and method. An artificial intelligence-based Parkinson's disease diagnosing apparatus which is an aspect of the present disclosure includes an image acquiring unit which acquires a first image related to a multi-echo magnitude and phase from an MRI obtained by capturing a brain of a patient; an image processing unit which post-processes the acquired first image so as to observe a substantia nigra and a nigrosome-1 region used as imaging biomarkers of the Parkinson's disease; an image analyzing unit which analyzes the post-processed first image to classify a second image including the nigrosome-1 region and detects the nigrosome-1 region from the classified second image; and a diagnosing unit which diagnoses whether the patient has the Parkinson's disease by analyzing whether the detected nigrosome-1 region is normal, in which the image processing unit generates a susceptibility map weighted imaging image by applying a quantitative susceptibility map mask to the first image based on a quantitative susceptibility mapping algorithm to perform the post-processing and the image processing unit further performs at least one operation of angle adjustment, image enlargement, and reslice, on the generated susceptibility map weighted imaging image.

System and method for generating a traveling field free line

A system for generating a traveling field free line, traveling along a propagation direction different from the orientation of said traveling field free line, said system comprising at least a first and a second coil assembly, wherein said first coil assembly is configured for generating a first stationary field free line at a first location when a current is flowing in the first coil assembly and the second coil assembly is current free, and wherein said second coil assembly is configured for generating a second stationary field free line at a second location, when a current is flowing in the second coil assembly and the first coil assembly is current free. The system further comprises a controller configured for driving the first and second coil assemblies with corresponding driving currents synchronized with each other, such that said traveling field free line travels along the propagation direction from a first location towards a second location.

System and method for generating a traveling field free line

A system for generating a traveling field free line, traveling along a propagation direction different from the orientation of said traveling field free line, said system comprising at least a first and a second coil assembly, wherein said first coil assembly is configured for generating a first stationary field free line at a first location when a current is flowing in the first coil assembly and the second coil assembly is current free, and wherein said second coil assembly is configured for generating a second stationary field free line at a second location, when a current is flowing in the second coil assembly and the first coil assembly is current free. The system further comprises a controller configured for driving the first and second coil assemblies with corresponding driving currents synchronized with each other, such that said traveling field free line travels along the propagation direction from a first location towards a second location.

ADJUSTABLE CLOCK FREQUENCY IN AN INJECTOR HEAD ASSEMBLY FOR AN MRI SYSTEM

An MRI system (100) is proposed (for generating one or more images of a body-part of a patient under analysis); the MRI system (100) comprises an injector head assembly (155), for injecting at least one medical fluid into the patient, having a clock unit (340) for providing a clock signal with a clock frequency. The MRI system (100) comprises means (420-425; 445-460) for adjusting the clock frequency in response to a manual command and/or to a detection of a degradation of the images. An injector system (155,165) for use in this MRI system (100) is also proposed. Moreover, a corresponding method (500) for managing the injector head assembly (155) is proposed. A computer program (400) for implementing the method (500) and a corresponding computer program product are also proposed.

IMAGE PROCESSING METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM
20210082112 · 2021-03-18 ·

Embodiments of the present disclosure disclose an image processing method, an electronic device, and a storage medium. The method includes: converting an original image into a target image conforming to a target parameter; obtaining a target numerical index according to the target image; and performing, according to the target numerical index, timing prediction processing on the target image to obtain a timing state prediction result. Left ventricular function quantization can be implemented, the image processing efficiency is improved, and the prediction accuracy of a cardiac function index is improved.

System and method for manufacturing magnetic resonance imaging gradient coil assemblies

The embodiments disclosed herein relate generally to magnetic resonance imaging systems and, more specifically, to the manufacturing of a gradient coil assembly for magnetic resonance imaging (MRI) systems. For example, in one embodiment, a method of manufacturing a gradient coil assembly for a magnetic resonance imaging system includes depositing a first layer comprising a base material onto a surface to form a substrate and depositing a second layer onto the first layer. The second layer may enable bonding between a conductor material and the substrate. The method also includes depositing a third layer onto the second layer using a consolidation process. The consolidation process uses the conductor material to form at least a portion of a gradient coil.

Soft tissue simulator for magnetic resonance testing and method for simulated testing

A soft tissue simulator for magnetic resonance imaging and a method for simulated testing are disclosed. The simulator includes a base for supporting a soft tissue or organ sample, an indenter, a pneumatic cylinder and an air source. The pneumatic cylinder is separated into a first chamber and a second chamber. The air source includes a pneumatic generation source and a reversing valve having a first air outlet and a second air outlet which are respectively connected to the first and second chambers. The reversing valve is used to control compressed air to enter the first or second chamber to control the movement of the indenter. The indenter is controlled to have a periodic or unidirectional movement, to simulate the movement of a human organ or soft tissue. The simulator can used for the measurement of physical characteristics of soft tissue based on magnetic resonance imaging.

Soft tissue simulator for magnetic resonance testing and method for simulated testing

A soft tissue simulator for magnetic resonance imaging and a method for simulated testing are disclosed. The simulator includes a base for supporting a soft tissue or organ sample, an indenter, a pneumatic cylinder and an air source. The pneumatic cylinder is separated into a first chamber and a second chamber. The air source includes a pneumatic generation source and a reversing valve having a first air outlet and a second air outlet which are respectively connected to the first and second chambers. The reversing valve is used to control compressed air to enter the first or second chamber to control the movement of the indenter. The indenter is controlled to have a periodic or unidirectional movement, to simulate the movement of a human organ or soft tissue. The simulator can used for the measurement of physical characteristics of soft tissue based on magnetic resonance imaging.