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Gaussian curvature flowmodel for colonic polyp detection in CT colonography

机译:用于CT结肠谱系的结肠息肉检测的高斯曲率血流模型

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In this paper, we propose a novel anisotropic 3D surface evolution model for detecting protrusion shape based colonic polyp on the curved surface. The important feature of the proposed model is that it can detect protrusions with both convex and concave shapes. Protrusion shapes are defined as the extension beyond the usual limits or above a plane surface. Based on Gaussian andmean curvature flows, the approach works by locally deforming the convex or concave surface until the second principal curvature goes to zero. The diffusion directions are changed to prevent convex surfaces from converting into concave shapes, and vice versa. The deformation field quantitatively measures the amount of protrudeness. The proposed method has been evaluated by using synthetic phantoms and real colon datasets.
机译:本文提出了一种新的各向异性3D表面演化模型,用于检测弯曲表面上的突出形状的结肠息肉。所提出的模型的重要特征是它可以检测凸形和凹形的突起。突出形状被定义为超出通常限制或平面表面上方的延伸。基于高斯和模糊曲率曲率流动,该方法通过局部地变形凸面或凹面,直到第二主曲率变为零。漫射方向被改变以防止凸面转换成凹形,反之亦然。变形现场定量测量突出量。已经通过使用合成幻像和真正的结肠数据集来评估所提出的方法。

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