- 专利标题: System and method of perceptive quantitative mapping of physical properties
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申请号: US18474048申请日: 2023-09-25
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公开(公告)号: US12072403B2公开(公告)日: 2024-08-27
- 发明人: Yi Wang , Zhe Liu , Jinwei Zhang , Qihao Zhang , Junghun Cho , Pascal Spincemaille
- 申请人: Cornell University
- 申请人地址: US NY Ithaca
- 专利权人: Cornell University
- 当前专利权人: Cornell University
- 当前专利权人地址: US NY Ithaca
- 代理机构: Leydig, Voit & Mayer, Ltd.
- 主分类号: G01R33/56
- IPC分类号: G01R33/56 ; A61B5/00 ; A61B5/055 ; G01R33/565 ; G06T7/00
摘要:
Exemplary methods for quantitative mapping of physical properties, systems and computer-accessible medium can be provided to generate images of tissue magnetic susceptibility, transport parameters and oxygen consumption from magnetic resonance imaging data using the Bayesian inference approach, which minimizes a data fidelity term under a constraint of a structure prior knowledge. The data fidelity term is constructed directly from the magnetic resonance imaging data. The structure prior knowledge can be characterized from known anatomic images using image feature extraction operation or artificial neural network. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining physical properties associated with at least one structure.
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