发明名称 |
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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申请公布号 |
US2004184647(A1) |
申请公布日期 |
2004.09.23 |
申请号 |
US20030688267 |
申请日期 |
2003.10.17 |
申请人 |
REEVES ANTHONY P.;YANKELEVITZ DAVID;HENSCHKE CLAUDIA;CHAN ANTONI |
发明人 |
REEVES ANTHONY P.;YANKELEVITZ DAVID;HENSCHKE CLAUDIA;CHAN ANTONI |
分类号 |
G06K9/00;G06T7/00;(IPC1-7):G06K9/00 |
主分类号 |
G06K9/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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