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Method and apparatus for small pulmonary nodule computer aided diagnosis from computed tomography scans

机译:通过计算机断层扫描扫描进行小肺结节计算机辅助诊断的方法和设备

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, a 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 or the lung region of the CT scan 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.
机译:本发明是使用连续结节候选细化方法的多阶段检测算法。检测算法包括四个主要步骤。首先,从整个肺部CT扫描中分割出肺部区域。接下来是假设生成阶段,其中从肺区域识别出结节候选位置。在第三阶段中,结节候选子图像或CT扫描的肺部区域经过条痕伪影去除过程。然后,使用一系列复杂性不断增加的过滤器对候选结节进行连续细化。第一个过滤器使用附着区域信息从结节候选列表中删除血管和大血管分叉点。第二个过滤器去除了小的分叉点。

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