非对比CT图像中胸主动脉的自动分割

U. Kurkure, Olga C. Avila-Montes, I. Kakadiaris
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引用次数: 47

摘要

主动脉钙化已被证明与心血管疾病有关。在本文中,我们提出了一种在非对比CT图像中使用动态规划概念来检测和量化主动脉钙的新方法。将主动脉的定位和分割问题表述为最优路径检测问题,利用动态规划原理求解。我们将这些方法应用于霍夫空间进行主动脉定位,并将变换后的极坐标空间用于主动脉分割。在主动脉位置、边界距离和体积重叠方面,我们将该方法与手动注释进行比较,以评估该方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automated segmentation of thoracic aorta in non-contrast CT images
Aortic calcification has been shown to be related to cardiovascular disease. In this paper, we present a novel method for localization and segmentation of thoracic aorta in non- contrast CT images using dynamic programming concepts to detect and quantify aortic calcium. The localization and segmentation of the aorta are formulated as optimal path detection problems, which are solved using dynamic programming principles. We apply these methods on Hough space for aorta localization and a transformed polar coordinate space for aorta segmentation. We evaluate the proposed approach by comparing it with the manual annotations in terms of aorta location, boundary distance, and volume overlap.
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