- 专利标题: Systems and methods for the segmentation of multi-modal image data
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申请号: US17487082申请日: 2021-09-28
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公开(公告)号: US11699236B2公开(公告)日: 2023-07-11
- 发明人: Yitzhak Avital , Nahum Kiryati , Eli Konen , Arnaldo Mayer
- 申请人: Ramot at Tel-Aviv University Ltd. , Tel HaShomer Medical Research Infrastructure and Services Ltd.
- 申请人地址: IL Tel-Aviv
- 专利权人: Ramot at Tel-Aviv University Ltd.,Tel HaShomer Medical Research Infrastructure and Services Ltd.
- 当前专利权人: Ramot at Tel-Aviv University Ltd.,Tel HaShomer Medical Research Infrastructure and Services Ltd.
- 当前专利权人地址: IL Tel-Aviv; IL Ramat-Gan
- 主分类号: G06T7/11
- IPC分类号: G06T7/11 ; A61B34/20 ; A61B34/32 ; A61B5/00 ; A61B5/055 ; G01R33/56 ; G06N3/08
摘要:
There is provided a computer implemented method of automatic segmentation of three dimensional (3D) anatomical region of interest(s) (ROI) that includes predefined anatomical structure(s) of a target individual, comprising: receiving 3D images of a target individual, each including the predefined anatomical structure(s), each 3D image is based on a different respective imaging modality. In one implementation, each respective 3D image is inputted into a respective processing component of a multi-modal neural network, wherein each processing component independently computes a respective intermediate, and the intermediate outputs are inputted into a common last convolutional layer(s) for computing the indication of segmented 3D ROI(s). In another implementation, each respective 3D image is inputted into a respective encoding-contracting component a multi-modal neural network, wherein each encoding-contracting component independently computes a respective intermediate output. The intermediate outputs are inputted into a single common decoding-expanding component for computing the indication of segmented 3D ROI(s).
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