发明授权
US07751607B2 System, method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans
有权
用于计算机断层扫描的小型肺结节计算机辅助诊断系统,方法和装置
- 专利标题: System, method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans
- 专利标题(中): 用于计算机断层扫描的小型肺结节计算机辅助诊断系统,方法和装置
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申请号: US12277877申请日: 2008-11-25
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公开(公告)号: US07751607B2公开(公告)日: 2010-07-06
- 发明人: Anthony P. Reeves , David Yankelevitz , Claudia Henschke , Antoni Chan
- 申请人: Anthony P. Reeves , David Yankelevitz , Claudia Henschke , Antoni Chan
- 申请人地址: US NY Ithaca
- 专利权人: Cornell Research Foundation, Inc.
- 当前专利权人: Cornell Research Foundation, Inc.
- 当前专利权人地址: US NY Ithaca
- 代理机构: Hoffmann & Baron, LLP
- 主分类号: G06K9/00
- IPC分类号: G06K9/00
摘要:
The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, the lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points. The invention also improves the consistency of nodule segmentations. This invention uses rigid-body registration, histogram-matching, and a rule-based adjustment system to remove missegmented voxels between two segmentations of the same nodule at different times.
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