Iterative restoration of corrupted mr images
AssigneeSiemens Healthineers AG
InventorsMahmoud Mostapha, Mariappan S. Nadar
Life of this patent
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Abstract
Systems and methods for image restoration of medical imaging data using an incremental process. The image restoration problem is decomposed into a sequence of intermediate steps that are easier to process than a single large step directly from the input to an output. Intermediate reconstructions are generated iteratively which provide for mapping a low-quality input to a high-quality reconstruction through a sequence of slightly less corrupted images.
Claims20
A method for image restoration, the method comprising:
- acquiring medical imaging data;
- inputting the medical imaging data into an iterative restoration network, the iterative restoration network configured to output higher quality medical imaging data using multiple incremental steps that provide a sequence of slightly less corrupted images;
- and
- outputting, by the iterative restoration network, the higher quality medical imaging data.
A system for image restoration, the system comprising:
- a medical imaging device configured to acquire medical imaging data of a patient;
- an iterative restoration network with a plurality of stages trained using machine learning, each stage of the plurality of stages configured to incrementally improve a quality of input image data from a previous stage;
- and
- a processor configured to apply the iterative restoration network to medical imaging data from the medical imaging device and to provide a representation of the patient based on an output of the iterative restoration network.
A non-transitory computer readable storage medium comprising a set of computer-readable instructions stored thereon which, when executed by at least one processor cause the processor to:
- acquire medical imaging data;
- input the medical imaging data into an iterative restoration network, the iterative restoration network configured to output higher quality medical imaging data using a plurality of incremental steps that provide a sequence of slightly less corrupted images;
- and
- output, by the iterative restoration network, higher quality medical imaging data.
Dependencies are inferred from the claim text.