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

System, method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans
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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