发明申请
- 专利标题: Method and System for Detecting 3D Anatomical Structures Using Constrained Marginal Space Learning
- 专利标题(中): 使用约束边际空间学习检测3D解剖结构的方法和系统
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申请号: US12471761申请日: 2009-05-26
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公开(公告)号: US20090304251A1公开(公告)日: 2009-12-10
- 发明人: Yefeng Zheng , Bogdan Georgescu , Haibin Ling , Michael Scheuering , Dorin Comaniciu
- 申请人: Yefeng Zheng , Bogdan Georgescu , Haibin Ling , Michael Scheuering , Dorin Comaniciu
- 申请人地址: US NJ Princeton DE Munich
- 专利权人: Siemens Corporate Research, Inc.,Siemens Aktiengesellschaft
- 当前专利权人: Siemens Corporate Research, Inc.,Siemens Aktiengesellschaft
- 当前专利权人地址: US NJ Princeton DE Munich
- 主分类号: G06K9/00
- IPC分类号: G06K9/00
摘要:
A method and apparatus for detecting 3D anatomical objects in medical images using constrained marginal space learning (MSL) is disclosed. A constrained search range is determined for an input medical image volume based on training data. A first trained classifier is used to detect position candidates in the constrained search range. Position-orientation hypotheses are generated from the position candidates using orientation examples in the training data. A second trained classifier is used to detect position-orientation candidates from the position-orientation hypotheses. Similarity transformation hypotheses are generated from the position-orientation candidates based on scale examples in the training data. A third trained classifier is used to detect similarity transformation candidates from the similarity transformation hypotheses, and the similarity transformation candidates define the position, translation, and scale of the 3D anatomic object in the medical image volume.