Invention Grant
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
- Patent Title: System, method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans
- Patent Title (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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Application No.: US12277877Application Date: 2008-11-25
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Publication No.: US07751607B2Publication Date: 2010-07-06
- Inventor: Anthony P. Reeves , David Yankelevitz , Claudia Henschke , Antoni Chan
- Applicant: Anthony P. Reeves , David Yankelevitz , Claudia Henschke , Antoni Chan
- Applicant Address: US NY Ithaca
- Assignee: Cornell Research Foundation, Inc.
- Current Assignee: Cornell Research Foundation, Inc.
- Current Assignee Address: US NY Ithaca
- Agency: Hoffmann & Baron, LLP
- Main IPC: G06K9/00
- IPC: G06K9/00

Abstract:
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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