Invention Grant
- Patent Title: System, method and computer-accessible medium for learning an optimized variational network for medical image reconstruction
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Application No.: US15495511Application Date: 2017-04-24
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Publication No.: US10671939B2Publication Date: 2020-06-02
- Inventor: Florian Knoll , Kerstin Hammernik , Thomas Pock , Daniel K. Sodickson
- Applicant: NEW YORK UNIVERSITY , Graz University of Technology
- Applicant Address: US NY New York AT Graz
- Assignee: New York University,Graz University of Technology
- Current Assignee: New York University,Graz University of Technology
- Current Assignee Address: US NY New York AT Graz
- Agency: Hunton Andrews Kurth LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06T5/00 ; G06T11/00 ; G01R33/561 ; G01R33/48

Abstract:
An exemplary system, method and computer accessible medium for generating an image(s) of a portion(s) of a patient can be provided, which can include, for example, receiving first imaging information related to the portion(s), receiving second information related to modelling information of a further portion(s) of a further patient(s), where the modelling information includes (i) an under sampling procedure, and/or (ii) a learning-based procedure, and generating the image(s) using the first information and the second information. The modelling information can include artifacts present in a further image of the further portion(s). The image(s) can be generated by reducing or minimizing the artifacts. The second information can be generated, for example using a variational network(s).
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