Invention Grant
- Patent Title: System and method of automated segmentation of anatomical objects through learned examples
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Application No.: US16050150Application Date: 2018-07-31
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Publication No.: US10733737B2Publication Date: 2020-08-04
- Inventor: Mohammad Mehdi Farhangi , Amir A. Amini , Hichem Frigui
- Applicant: University of Louisville Research Foundation, Inc.
- Applicant Address: US KY Louisville
- Assignee: University of Louisville Research Foundation, Inc.
- Current Assignee: University of Louisville Research Foundation, Inc.
- Current Assignee Address: US KY Louisville
- Agency: Jenkins, Wilson, Taylor & Hunt, P.A.
- Main IPC: G06T7/11
- IPC: G06T7/11 ; G06T7/149 ; G06T7/30 ; G06T7/181 ; G06T7/12

Abstract:
A method and system of automated segmentation of an anatomical object through learned examples include: receiving, by a processing device, an image of the anatomical object; determining a sparse representation of a shape of the anatomical object by iteratively evolving a segmenting surface as a combination of a level set segmentation and a linear combination of training shapes; and outputting, to an output device, the sparse representation of the shape of the anatomical object as the segmentation of the anatomical object.
Public/Granted literature
- US20190122365A1 SYSTEM AND METHOD OF AUTOMATED SEGMENTATION OF ANATOMICAL OBJECTS THROUGH LEARNED EXAMPLES Public/Granted day:2019-04-25
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