Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps

Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps
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DOI:
10.1109/42.974921
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发表时间:
2001-12-01
影响因子:
10.6
通讯作者:
Näppi, J
Näppi, J
中科院分区:
工程技术1区
文献类型:
--
作者:
Yoshida, H;Näppi, J

文献摘要

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我们已经开发了一种三维(3-D)计算机辅助诊断方案,用于自动检测计算机断层扫描(CT)结肠造影数据集中的结肠息肉,并以结肠镜检查为金标准评估其性能。在该方案中,从CT结肠造影中的CT图像重建的各向同性体积中提取包围整个结肠壁的厚区域。息肉候选者检测的第一个计算的3-D几何特征,其特征在于息肉,褶皱,和结肠壁在提取的结肠中的每个体素,然后分割的连接组件对应于可疑区域的滞后阈值的基础上,这些几何特征。我们应用模糊聚类这些连接的组件,以获得息肉候选人。然后通过计算表征息肉候选者的内部结构的几个3-D体积特征来减少假阳性(FP)检测,然后将判别分析应用于由这些体积特征生成的特征空间。将我们的计算机化方法检测到的息肉位置与传统结肠镜检查的金标准进行比较。基于43例临床病例,包括12例结肠镜检查确定的息肉,对性能进行了评价。我们的计算机化方案被证明有可能在CT结肠造影中检测到息肉,具有临床可接受的高灵敏度和低FP率。
We have developed a three-dimensional (3-D) computer-aided diagnosis scheme for automated detection of colonic polyps in computed tomography (CT) colonographic data sets, and assessed its performance based on colonoscopy as the gold standard. In this scheme, a thick region encompassing the entire colonic wall is extracted from an isotropic volume reconstructed from the CT images in CT colonography. Polyp candidates are detected by first computing of 3-D geometric features that characterize polyps, folds, and colonic walls at each voxel in the extracted colon, and then segmenting of connected components corresponding to suspicious regions by hysteresis thresholding based on these geometric features. We apply fuzzy clustering to these connected components to obtain the polyp candidates. False-positive (FP) detections are then reduced by computation of several 3-D volumetric features characterizing the internal structures of the polyp candidates, followed by the application of discriminant analysis to the feature space generated by these volumetric features. The locations of the polyps detected by our computerized method were compared to the gold standard of conventional colonoscopy. The performance was evaluated based on 43 clinical cases, including 12 polyps determined by colonoscopy. Our computerized scheme was shown to have the potential to detect polyps in CT colonography with a clinically acceptable high sensitivity and a low FP rate.