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首页> 外文会议>Virtual colonoscopy and abdominal imaging : Computational challenges and clinical opportunities >Improved Curvature Estimation for Shape Analysis in Computer-Aided Detection of Colonic Polyps
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Improved Curvature Estimation for Shape Analysis in Computer-Aided Detection of Colonic Polyps

机译：用于结肠息肉的计算机辅助检测中形状分析的改进曲率估计

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摘要

In current methods of computer-aided detection (CAD) of colonic polyps, curvature-based shape measures, like the shape index, curvedness, sphericity ratio, Gaussian curvature, mean curvature, etc., are widely used to analyze the local shapes in the colon wall. Therefore, the curvature estimation is an essential step, which is often conducted through kernel methods. However, spurious calculations indicating high curvature are frequently observed when the kernel contains two surfaces (this happens for objects like a thin slab, sphere, etc.). In this study, we adapted the Knutsson mapping method to solve this problem, so that we can improve the curvature estimation for CAD of colonic polyps in virtual colonoscopy.
机译：在当前的结肠息肉计算机辅助检测（CAD）方法中，基于弯曲的形状度量（例如形状指数，弯曲度，球度比，高斯曲率，平均弯曲度等）被广泛用于分析结肠息肉的局部形状。结肠壁。因此，曲率估计是必不可少的步骤，通常是通过核方法进行的。但是，当内核包含两个曲面时，通常会观察到表明高曲率的虚假计算（这种情况发生在薄板，球等物体上）。在这项研究中，我们采用了Knutsson映射方法来解决此问题，从而可以改善虚拟结肠镜检查中结肠息肉CAD的曲率估计。

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