Invention Grant
- Patent Title: Knowledge-based automatic image segmentation
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Application No.: US16391735Application Date: 2019-04-23
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Publication No.: US11455732B2Publication Date: 2022-09-27
- Inventor: Corey Zankowski
- Applicant: Varian Medical Systems, Inc.
- Applicant Address: US CA Palo Alto
- Assignee: Varian Medical Systems, Inc.
- Current Assignee: Varian Medical Systems, Inc.
- Current Assignee Address: US CA Palo Alto
- Main IPC: G06T7/143
- IPC: G06T7/143 ; G06T7/11

Abstract:
A method for medical image segmentation. The method includes accessing and updating a knowledge-base in accordance with embodiments of the present invention. The techniques include: receiving a medical image and computing a sparse landmark signature based on the medical image content. Next, a knowledge-base is searched for representative matches to form a base set, wherein the base set comprises a plurality of reference image sets. A portion of the plurality of reference image sets of the base set is deformed to generate mappings from the base set to the medical image set. Finally a weighted average segmentation for each structure of interest of the medical image set is determined.
Public/Granted literature
- US20190259164A1 KNOWLEDGE-BASED AUTOMATIC IMAGE SEGMENTATION Public/Granted day:2019-08-22
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