Invention Grant
- Patent Title: Methods for iterative reconstruction of medical images using primal-dual optimization with stochastic dual variable updating
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Application No.: US16498973Application Date: 2018-04-06
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Publication No.: US11426094B2Publication Date: 2022-08-30
- Inventor: Joshua D. Trzasko
- Applicant: Mayo Foundation for Medical Education and Research
- Applicant Address: US MN Rochester
- Assignee: Mayo Foundation for Medical Education and Research
- Current Assignee: Mayo Foundation for Medical Education and Research
- Current Assignee Address: US MN Rochester
- Agency: Quarles & Brady LLP
- International Application: PCT/US2018/026417 WO 20180406
- International Announcement: WO2018/187662 WO 20181011
- Main IPC: A61B5/055
- IPC: A61B5/055 ; G01R33/56 ; G01R33/561 ; G06F17/10

Abstract:
Methods for reconstructing images of a subject from data acquired with a medical imaging system, such as a magnetic resonance imaging (“MRI”) system, are described. In general, the image reconstructions implement a primal-dual optimization strategy that, in each iteration, stochastically updates a dual variable.
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