Suh Jung W, Wyatt Christopher L
Diagnostic Radiology, Yale University School of Medicine, New Haven, CT 06520, USA.
J Comput Assist Tomogr. 2009 Nov-Dec;33(6):902-11. doi: 10.1097/RCT.0b013e3181a7e2c1.
Computed tomographic colonography is a minimally invasive technique for detecting colorectal polyps and colon cancer. Most computed tomographic colonography protocols acquire both prone and supine images to improve the visualization of the lumen wall, reduce false-positives, and improve sensitivity. Comparisons between the prone and supine images can be improved by registration between the scans. In this paper, we propose registering colon lumens, segmented from prone and supine images, using feature matching of the colon centerline and nonrigid registration of the lumen shapes represented as distance functions. Experimental registration results (n = 21 subjects) show a correspondence accuracy of 13.77 +/- 6.20 mm for a range of polyp sizes. The overlap in the registered lumen segmentations show an average Jaccard similarity coefficient of 0.915 +/- 0.07.
计算机断层结肠成像术是一种用于检测结直肠息肉和结肠癌的微创技术。大多数计算机断层结肠成像方案会采集俯卧位和仰卧位图像，以改善管腔壁的可视化、减少假阳性并提高敏感性。通过扫描之间的配准，可以改善俯卧位和仰卧位图像之间的比较。在本文中，我们建议使用结肠中心线的特征匹配以及将管腔形状表示为距离函数的非刚性配准，对从俯卧位和仰卧位图像中分割出的结肠管腔进行配准。实验配准结果（n = 21名受试者）显示，对于一系列息肉大小，对应精度为13.77 +/- 6.20毫米。配准后的管腔分割的重叠部分显示平均杰卡德相似系数为0.915 +/- 0.07。
