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Coronary calcification diagnosis system based on helical CT images

机译:基于螺旋CT图像的冠状动脉钙化诊断系统

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In this paper, we describe a computer assisted diagnosis algorithm of coronary calcifications based on helical X-ray CT images which are used at the mass screening process for lung cancer diagnosis. Our diagnostic algorithm consists of four processes: Firstly, we choose the heart slices from the CT images which was taken from the mass screening, we classify the heart slices to three section. Second, we extract the heart region on each slice by the shape of the lung area and the body of vertebra. Third, the candidate regions of the coronary calcifications are detected by the difference calculus and thresholding process. Finally, to increase the effectiveness of the diagnostic processing, we cancel the artifacts included in the candidate regions by the diagnostic rules defined by us. We show here the result of our algorithm which is applied to helical CT images of 402 patients analyzed for lung cancer screening.
机译:在本文中,我们描述了一种基于螺旋X射线CT图像的冠状动脉钙化计算机辅助诊断算法,其用于肺癌诊断的质量筛选过程。我们的诊断算法由四个过程组成:首先,我们选择从群众筛选中取出的CT图像中的心脏切片,我们将心脏切片分类为三个部分。其次,我们通过肺部面积和椎体体的形状提取各切片上的心脏区域。第三,通过差分微积分和阈值处理来检测冠状动脉钙化的候选区域。最后,为了提高诊断处理的有效性,我们通过我们定义的诊断规则取消候选区域中包含的伪影。我们在这里展示了我们算法的结果,该算法应用于402名患者的螺旋CT图像,分析肺癌筛查。

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