Digital bowel cleansing for computer-aided detection of polyps in fecal-tagging CT colonography
Digital bowel cleansing for computer-aided detection of polyps in fecal-tagging CT colonography
复制标题
数字肠道清洁用于计算机辅助检测粪便标签 CT 结肠成像中的息肉
DOI：
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
H. Yoshida
中科院分区：
文献类型：
--
作者：
W. Cai;J. Näppi;M. Zalis;G. Harris;H. Yoshida
数字肠道清洁(DBC)是一种新兴的分割粪便材料的方法，在CT结肠成像(CTC)图像中用X射线不透明的口腔造影剂标记这些物质，有效地将它们移除以进行数字结肠清洁。现有的DBC方法倾向于使用简单的基于阈值的方法来去除标记的粪便材料；然而，由于周围的标记的粪便材料引起的息肉的假性增强，这种方法往往错误地移除淹没在这些材料中的部分或整个息肉。在这项研究中，我们开发了一种新的DBC方法，它可以保存淹没在标记粪便材料中或部分被标记粪便材料覆盖的软组织结构。在我们的方法中，淹没的软组织结构的特征是它们的局部形状特征，这些特征是基于海森矩阵的特征值计算的。为了增强软组织结构，构造了一个结构增强函数，并将该函数的值积分到水平集方法的速度函数中，从而在去除标记的粪便材料的同时勾画出淹没的软组织结构。在对10个水下息肉的分析中，我们的新的DBC方法被证明比我们之前报道的基于阈值的清洗方法更好地描绘了息肉。我们的计算机辅助检测(CAD)方案的应用表明，与以前的基于阈值的方法相比，新的DBS方法的使用大大减少了假阳性检测的数量。
Digital bowel cleansing (DBC) is an emerging method for segmentation of fecal materials, which are tagged by an X-ray-opaque oral contrast agent in CT colonography (CTC) images, effectively removing them for digital cleansing of the colon. Existing DBC approaches tend to use simple thresholding-based methods for the removal of tagged fecal materials; however, because of the pseudo-enhancement of polyps caused by the surrounding tagged fecal materials, such methods tend erroneously to remove a part of or the entire polyps submerged in these materials. In this study, we developed a novel DBC method that preserves the soft-tissue structures submerged in or partially covered by tagged fecal materials. In our approach, submerged soft-tissue structures are characterized by their local shape signatures that are calculated based on the eigenvalues of a Hessian matrix. A structure-enhancement function is formulated for enhancing of the soft-tissue structures, and the values of the function are integrated into the speed function of a level set method to delineate the submerged soft-tissue structures while removing the tagged fecal materials. In an analysis of 10 submerged polyps, our new DBC method was shown to delineate polyps better than was possible with our previously reported cleansing method based on thresholding. Application of our computer-aided detection (CAD) scheme showed that the use of the new DBS method substantially reduced the number of false-positive detections compared with those of our previous, thresholding-based method.
风险和不情愿：了解结直肠癌筛查的障碍。
DOI：
10.1006/pmed.2001.0838
发表时间：
2001
期刊：
Preventive medicine.
影响因子：
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作者：
Weitzman,ER;Zapka,J;Estabrook,B;Goins,KV
通讯作者：
Goins,KV
影响因子：
19.7
作者：
Gluecker, TM;Johnson, CD;Ahlquist, DA
通讯作者：
Ahlquist, DA