Invention Grant
- Patent Title: Learning-based spine vertebra localization and segmentation in 3D CT
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Application No.: US17114360Application Date: 2020-12-07
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Publication No.: US11715207B2Publication Date: 2023-08-01
- Inventor: Erkang Cheng , Lav Rai , Henky Wibowo
- Applicant: Broncus Medical Inc.
- Applicant Address: US CA San Jose
- Assignee: BRONCUS MEDICAL INC.
- Current Assignee: BRONCUS MEDICAL INC.
- Current Assignee Address: US CA San Jose
- Agent Richard Batt
- Main IPC: G06T7/11
- IPC: G06T7/11 ; G06T7/162 ; G06T7/143

Abstract:
Described herein is a novel method and system for segmentation of the spine using 3D volumetric data. In embodiments, a method includes an extracting step, localization step, and segmentation step. The extracting step comprises detecting the spine centerline and the spine canal centerline. The localization step comprises localizing the vertebra and intervertebral disc centers. Background and foreground constraints are created for each vertebra digit. Segmentation is performed for each vertebra digit and based on the hard constraints.
Public/Granted literature
- US20210150724A1 LEARNING-BASED SPINE VERTEBRA LOCALIZATION AND SEGMENTATION IN 3D CT Public/Granted day:2021-05-20
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