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Surface coverage in CT colography studies

机译:CT结肠研究中的表面覆盖

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The early detection of colorectal polyps may reduce morbidity and mortality due to colon cancer. Reliable detection of polyps in CT colography requires presentation of the entire colonic surface to the radiologist. We have developed a simple technique for quantifying surface coverage of the colonic mucosa as shown on CT colography. The air in the colon is segmented. A shell surrounding the air volume is generated by successively growing surfaces contiguous with previously grown voxels using thresholds of $MIN@900 HU and $MIN@100 HU. To evaluate techniques used for viewing the colon, shell voxels used in the presentation techniques are monitored, and a list of voxels missed by the technique is compiled. The missed voxels can be visually inspected and quantified using clustering methods that parameterize volumes of missed voxels. The usefulness of this method was investigated using a technique that displays reformatted views about a pre- calculated centerline. A modification of the presentation method in which additional images are generated by interpolation to improve surface sampling near regions of high centerline curvature was also evaluated. The surface coverage and neighborhood parameters were calculated for 15 clinical colography studies. The results indicate that an average of 99.68% of the shell voxels were included in the reformatted images prior to interpolation. Surface coverage was improved to 99.9% when additional interpolated planes were included. The average number of missed neighbors improved from 8.13 to 5.29 with interpolation. The dimensions of the missed volumes provided useful information for surface coverage.
机译:早期检测结肠直肠息肉可能会导致由于结肠癌引起的发病率和死亡率。可靠地检测CT结肠谱中的息肉需要呈现整个结肠表面到放射科学家。我们开发了一种简单的技术,用于量化结肠粘膜的表面覆盖,如CT集体所示。结肠中的空气被分段。通过连续生长的表面与先前生长的体素垂直的表面使用阈值和Min @ 100 Hu的阈值,产生围绕空气量的壳。为了评估用于观察结肠的技术,监测演示技术中使用的壳体体素,并编译了该技术错过的体素列表。使用聚类方法可以在视觉上检查和量化错过的体素,这些方法是参数化错过的体素卷。研究了这种方法的有用性,使用了一个关于预先计算的中心线的重新格式化视图的技术进行了研究。还评估了通过插值产生额外图像以改善高中心线曲率区域附近的表面采样的呈现方法的修改。计算表面覆盖和邻域参数,用于15项临床上色研究。结果表明,在插值之前,将平均99.68%的壳体体素包含在重新格式化的图像中。当包括额外的内插飞机时,表面覆盖率提高到99.9%。未错过的邻居的平均数从8.13增加到5.29,插值。错过卷的维度为表面覆盖提供了有用的信息。

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