Abstract: Proposed concepts thus aim to provide schemes, solutions, concept, designs, methods and systems pertaining to updating a magnetic field (B0) map of a subject during a magnetic resonance imaging (MRI) examination or during image reconstruction. In particular, when a subject moves, the magnetic field inside the magnetic bore changes. As a result, any B0 map obtained prior to the movement of the subject may be inaccurate. Accordingly, an initial B0 map is updated to reflect changes in the B0 map caused by the movement of the subject. This can be achieved by determining a B0 map of the subject based on a B0 prediction model, instead of spending additional scanning time to acquire another B0 map.

Abstract: Proposed concepts thus aim to provide schemes, solutions, concepts, designs, methods and systems pertaining to predicting a field perturbation map for magnetic resonance imaging (MRI) of a subject. In particular, the invention aims to provide a field perturbation map of the subject without the need for additional time-consuming scans of the subject. An accurate field perturbation map is necessary in order to obtain an MRI scan of the subject of high quality. Accordingly, a synthetic computed tomography (CT) image is generated by inputting an initial MRI magnitude image of the subject to an image conversion machine learning algorithm. Subsequently, a weighted susceptibility map of the subject is determined based on the synthetic CT image and the initial MRI magnitude image, which is in turn used to determine the field perturbation map of the subject.

Abstract: Disclosed herein is a method of medical imaging. The method comprises receiving (202) gradient echo magnetic resonance imaging data (123) descriptive of a breast region (319) of a subject (318). The method further comprises receiving (202) DIXON magnetic resonance imaging data descriptive of the breast region. The DIXON magnetic resonance imaging data and the gradient echo magnetic resonance imaging data are spatially matched. The method further comprises generating (204) a breast micro-calcification magnetic resonance image (128) by inputting the gradient echo magnetic resonance imaging data and the DIXON magnetic resonance imaging data into a breast micro-calcification image reconstruction module (122). The breast micro-calcification image reconstruction module is configured to output abreast micro-calcification magnetic resonance image in response to inputting the gradient echo magnetic resonance imaging data and the DIXON magnetic resonance imaging data.

Abstract: Disclosed herein is a medical system (100, 300, 500) comprising a memory (110) storing machine executable instructions (120) and a B0 field estimation module (126); and a computational system (106). Execution of the machine executable instructions causes the computational system to receive (200) an initial magnetic resonance image (122) that comprises a magnitude component and is descriptive of a first region (326) of interest of a subject (118).

Abstract: A method of generating a susceptibility map of an object utilizes a regularizing inverse function, oversampling k-space, removing external phase noise and rapid phase change effects, accounting for the known geometry of the object, and using modified SWI phase data to generate reasonable susceptibility maps and digital images therefrom, such as SWI images. The inventors refers to the inventive methods set forth herein as Susceptibility Weighted Imaging and Mapping (SWIM).

Abstract: A method of generating a susceptibility map of an object utilizes a regularizing inverse function, oversampling k-space, removing external phase noise and rapid phase change effects, accounting for the known geometry of the object, and using modified SWI phase data to generate reasonable susceptibility maps and digital images therefrom, such as SWI images. The inventors refers to the inventive methods set forth herein as Susceptibility Weighted Imaging and Mapping (SWIM).

Abstract: A method of generating a susceptibility map of an object utilizes a regularizing inverse function, oversampling k-space, removing external phase noise and rapid phase change effects, accounting for the known geometry of the object, and using modified SWI phase data to generate reasonable susceptibility maps and digital images therefrom, such as SWI images. The inventors refers to the inventive methods set forth herein as Susceptibility Weighted Imaging and Mapping (SWIM).

Abstract: A method of generating a susceptibility map of an object utilizes a regularizing inverse function, oversampling k-space, removing external phase noise and rapid phase change effects, accounting for the known geometry of the object, and using modified SWI phase data to generate reasonable susceptibility maps and digital images therefrom, such as SWI images. The inventors refers to the inventive methods set forth herein as Susceptibility Weighted Imaging and Mapping (SWIM).

Abstract: The present invention provides a method of handling rapid phase aliasing in magnetic resonance images arising from local magnetic susceptibility differences. The methods of the present invention can be used to estimate the field effects within an object arising from the interfaces of regions having differences in magnetic susceptibilities, and to subtract out the resulting phase from the original or source phase data prior to any further phase processing. The methods of the present invention also include a process of accurately determining the susceptibility values of multiple voxel regions based on the geometry of such regions.

Abstract: The present invention provides a method of handling rapid phase aliasing in magnetic resonance images arising from local magnetic susceptibility differences. The methods of the present invention can be used to estimate the field effects within an object arising from the interfaces of regions having differences in magnetic susceptibilities, and to subtract out the resulting phase from the original or source phase data prior to any further phase processing. The methods of the present invention also include a process of accurately determining the susceptibility values of multiple voxel regions based on the geometry of such regions.