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首页> 外文期刊>Medical image analysis >Pulmonary nodule detection in CT images with quantized convergence index filter.
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Pulmonary nodule detection in CT images with quantized convergence index filter.

机译：使用量化收敛指数滤波器对CT图像中的肺结节进行检测。

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摘要

A novel filter termed quantized convergence index filter (QCI filter) that is capable of enhancing the conspicuity of rounded lesions is proposed as part of a CAD (computer-aided diagnosis) scheme for detecting pulmonary nodules in computed tomography (CT) images. In this filter and its predecessor, the convergence index filter (CI filter), the output at a pixel represents the degree of convergence toward the pixel shown by the directions of gray-level gradients at surrounding pixels. The QCI filter and the CAD scheme were evaluated using five clinical datasets containing 50 nodules. With the support region of 9 x 9 pixels, the QCI filter showed more selective response to the nodules than the CI filter. In the CAD scheme, intermediate nodule candidates are generated based on the QCI filter output and then classified using linear discriminant analysis of eight features that are attributed to each intermediate nodule candidate. The QCI filter output level itself was used as one of the features. The scheme achieved a sensitivity of 90% with 1.67 false positives per slice. The QCI filter output level was most effective among the features in correctly classifying intermediate nodule candidates. The QCI filter is promising as a tool of preprocessing for automated pulmonary nodule detection in CT images.
机译：作为能够在计算机断层扫描（CT）图像中检测肺结节的CAD（计算机辅助诊断）方案的一部分，提出了一种能够增强圆形损伤显着性的，称为量化收敛指数滤波器（QCI滤波器）的新型滤波器。在该滤波器及其前身，收敛指数滤波器（CI滤波器）中，像素处的输出表示朝向像素的会聚程度，该程度由周围像素处的灰度梯度方向表示。使用包含50个结节的五个临床数据集评估了QCI过滤器和CAD方案。在9 x 9像素的支撑区域中，QCI滤光片对结节的选择性响应比CI滤光片更好。在CAD方案中，基于QCI过滤器输出生成中间结节候选，然后使用对每个中间结节候选归因的八个特征的线性判别分析进行分类。 QCI滤波器输出电平本身被用作功能之一。该方案实现了90％的灵敏度，每片1.67个假阳性。在正确分类中间结节候选的功能中，QCI过滤器的输出水平是最有效的。 QCI过滤器有望作为CT图像中自动检测肺结节的预处理工具。

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