- 专利标题: Anomaly detection using magnetic resonance fingerprinting
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申请号: US17027743申请日: 2020-09-22
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公开(公告)号: US11435422B2公开(公告)日: 2022-09-06
- 发明人: Thomas Erik Amthor , Mariya Ivanova Doneva , Jan Jakob Meineke
- 申请人: KONINKLIJKE PHILIPS N.V.
- 申请人地址: NL Eindhoven
- 专利权人: KONINKLIJKE PHILIPS N.V.
- 当前专利权人: KONINKLIJKE PHILIPS N.V.
- 当前专利权人地址: NL Eindhoven
- 优先权: EP18163288 20180322
- 主分类号: G01R33/54
- IPC分类号: G01R33/54 ; A61B5/055 ; G01R33/56 ; G06T7/00
摘要:
The invention provides for a medical imaging system comprising: a memory for storing machine executable instructions; a processor for controlling the medical instrument. Execution of the machine executable instructions causes the processor to: receive MRF magnetic resonance data acquired according to an MRF magnetic resonance imaging protocol of a region of interest; reconstruct an MRF vector for each voxel of a set of voxels descriptive of the region of interest using the MRF magnetic resonance data according to the MRF magnetic resonance imaging protocol; calculate a preprocessed MRF vector (126) for each of the set of voxels by applying a predetermined preprocessing routine to the MRF vector for each voxel, wherein the predetermined preprocessing routine comprises normalizing the preprocessed MRF vector for each voxel; calculate an outlier map for the set of voxels by assigning an outlier score to the preprocessed MRF vector using a machine learning algorithm.