Invention Grant
- Patent Title: Online learning enhanced atlas-based auto-segmentation
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Application No.: US16522051Application Date: 2019-07-25
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Publication No.: US10672128B2Publication Date: 2020-06-02
- Inventor: Xiao Han
- Applicant: Elekta, Inc.
- Applicant Address: US GA Atlanta
- Assignee: Elekta, Inc.
- Current Assignee: Elekta, Inc.
- Current Assignee Address: US GA Atlanta
- Agency: Schwegman Lundberg & Woessner, P.A.
- Agent Sanjay Agrawal
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/11

Abstract:
An image segmentation method is disclosed. The method includes receiving a plurality of atlases and a subject image, each atlas including an atlas image showing a structure of interest and associated structure delineations, the subject image being acquired by an image acquisition device and showing the structure of interest. The method further includes calculating, by an image processor, mapped atlases by registering the respective atlases to the subject image, and determining, by the image processor, a first structure label map for the subject image based on the mapped atlases. The method also includes training, by the image processor, a structure classifier using a subset of the mapped atlases, and determining, by the image processor, a second structure label map for the subject image by applying the trained structure classifier to one or more subject image points in the subject image. The method additional includes combining, by the image processor, the first label map and the second label map to generate a third label map representative of the structure of interest.
Information query