Invention Grant
- Patent Title: Method of reconstructing magnetic resonance image data
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Application No.: US16409070Application Date: 2019-05-10
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Publication No.: US11079456B2Publication Date: 2021-08-03
- Inventor: Rene Botnar , Aurelien Bustin , Radhouene Neji , Claudia Prieto
- Applicant: Siemens Healthcare GmbH , King's College London
- Applicant Address: DE Erlangen; GB London
- Assignee: Siemens Healthcare GmbH,King's College London
- Current Assignee: Siemens Healthcare GmbH,King's College London
- Current Assignee Address: DE Erlangen; GB London
- Agency: Schiff Hardin LLP
- Priority: GB1807623 20180510
- Main IPC: G01R33/565
- IPC: G01R33/565 ; G01R33/48 ; G06F17/11 ; G06T11/00

Abstract:
A method of reconstructing magnetic resonance (MR) image data from k-space data. The method includes obtaining k-space data of an image region of a subject; and reconstructing, using a sparse image coding procedure, the MR image data from the k-space data by performing an iterative optimization method. The optimization method includes a data consistency iteration step and a denoising iteration step applied to MR image data generated by the data consistency iteration step. The denoising iteration step incorporates a sparsifying operation to provide a sparse representation of the MR image data for the imaged region as an input to the data consistency iteration step.
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