- 专利标题: METHOD FOR A BRAIN REGION LOCATION AND SHAPE PREDICTION
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申请号: US18140437申请日: 2023-04-27
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公开(公告)号: US20230293130A1公开(公告)日: 2023-09-21
- 发明人: Guillermo Sapiro , Noam Harel , Yuval Duchin , Jin Young Kim
- 申请人: Owl Navigation, Inc.
- 申请人地址: US MN Edina
- 专利权人: Owl Navigation, Inc.
- 当前专利权人: Owl Navigation, Inc.
- 当前专利权人地址: US MN Edina
- 主分类号: A61B6/00
- IPC分类号: A61B6/00 ; G06N20/00 ; G06F16/50 ; A61B5/055 ; G06T7/33 ; G06T7/11 ; G16H30/20 ; G06F18/25 ; G06F18/00 ; G16H50/20 ; G06N5/04 ; G06T7/00
摘要:
A volumetric segmentation method is disclosed for brain region analysis, in particular but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN). This serves for visualization and localization within the sub-cortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied for variation modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7 T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size, and orientation between manually segmented STN and its predicted one.
公开/授权文献
- US12048574B2 Method for a brain region location and shape prediction 公开/授权日:2024-07-30
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