A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography
A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography
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DOI：
10.1109/42.974920
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发表时间：
2001-12-01
影响因子：
10.6
通讯作者：
Napel, S
中科院分区：
文献类型：
--
作者：
Göktürk, SB;Tomasi, C;Napel, S
结肠中的腺瘤性息肉被认为是结直肠癌的前兆，结直肠癌是美国癌症死亡的第二大原因。在本文中，我们提出了一种新的方法，计算机辅助检测息肉的计算机断层扫描（CT）结肠造影（虚拟结肠镜），一种技术，其中息肉成像沿着壁的空气膨胀，清洁结肠与X射线CT。计算机辅助检测的初步工作显示出很高的灵敏度，但代价是太多的假阳性。我们提出了一种统计方法，使用支持向量机来区分息肉和健康组织的区别特征，并使用这些信息对新病例进行分类。本文的主要贡献之一是新的三维图案处理方法，称为随机正交形状截面法，它结合了许多随机图像的信息，以生成可靠的形状签名。所提出的系统的输入是一个高灵敏度，低特异性的系统，我们以前开发的候选息肉的体积数据的集合。我们的十倍交叉验证实验的结果表明，平均而言，该系统在1.0（0.95）的灵敏度水平下将特异性从0.19（0.35）提高到0.69（0.74）。
Adenomatous polyps in the colon are believed to be the precursor to colorectal carcinoma, the second leading cause of cancer deaths in United States. In this paper, we propose a new method for computer-aided detection of polyps in computed tomography (CT) colonography (virtual colonoscopy), a technique in which polyps are imaged along the wall of the air-inflated, cleansed colon with X-ray CT. Initial work with computer aided detection has shown high sensitivity, but at a cost of too many false positives. We present a statistical approach that uses support vector machines to distinguish the differentiating characteristics of polyps and healthy tissue, and uses this information for the classification of the new cases. One of the main contributions of the paper is the new three-dimensional pattern processing approach, called random orthogonal shape sections method, which combines the information from many random images to generate reliable signatures of shape. The input to the proposed system is a collection of volume data from candidate polyps obtained by a high-sensitivity, low-specificity system that we developed previously. The results of our tenfold cross-validation experiments show that, on the average, the system increases the specificity from 0.19 (0.35) to 0.69 (0.74) at a sensitivity level of 1.0 (0.95).