Invention Grant
- Patent Title: Method for a brain region location and shape prediction
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Application No.: US15457355Application Date: 2017-03-13
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Publication No.: US10885149B2Publication Date: 2021-01-05
- Inventor: Guillermo Sapiro , Noam Harel , Yuval Duchin , Jin Young Kim
- Applicant: Owl Navigation, Inc.
- Applicant Address: US MN Plymouth
- Assignee: Owl Navigation, Inc.
- Current Assignee: Owl Navigation, Inc.
- Current Assignee Address: US MN Plymouth
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06F19/00 ; G06F16/50 ; G06K9/62 ; A61B6/00 ; A61B5/055 ; G06T7/33 ; G06T7/11 ; G06K9/00 ; G16H50/20 ; G06N5/04 ; G06T7/00 ; A61B6/03 ; A61B6/12 ; A61B5/00

Abstract:
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., 7T, 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.
Public/Granted literature
- US20170193161A1 METHOD FOR A BRAIN REGION LOCATION AND SHAPE PREDICTION Public/Granted day:2017-07-06
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