Invention Grant
US09042618B2 Method and system for detection 3D spinal geometry using iterated marginal space learning
有权
使用迭代边缘空间学习检测3D脊柱几何的方法和系统
- Patent Title: Method and system for detection 3D spinal geometry using iterated marginal space learning
- Patent Title (中): 使用迭代边缘空间学习检测3D脊柱几何的方法和系统
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Application No.: US12794850Application Date: 2010-06-07
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Publication No.: US09042618B2Publication Date: 2015-05-26
- Inventor: Michael Kelm , Shaohua Kevin Zhou , Yefeng Zheng , Michael Suehling
- Applicant: Michael Kelm , Shaohua Kevin Zhou , Yefeng Zheng , Michael Suehling
- Applicant Address: DE Munich
- Assignee: Siemens Aktiengesellshaft
- Current Assignee: Siemens Aktiengesellshaft
- Current Assignee Address: DE Munich
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00
Abstract:
A method and apparatus for automatic detection and labeling of 3D spinal geometry is disclosed. Cervical, thoracic, and lumbar spine regions are detected in a 3D image. Intervertebral disk candidates are detected in each of the spine regions using iterative marginal space learning (MSL). Using a global probabilistic spine model, a separate one of the intervertebral disk candidates is selected for each of a plurality of labeled intervertebral disk locations.
Public/Granted literature
- US20110064291A1 Method and System for Detection 3D Spinal Geometry Using Iterated Marginal Space Learning Public/Granted day:2011-03-17
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