Region-based active contours for computer-aided analysis of carotid Phase Contrast MRI

G. Trebuchet, Jean-Baptiste Fasquel, C. Cavaro-Ménard, A. Lécluse, Serge Willoteaux
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引用次数: 1

Abstract

Phase-Contrast (PC) velocimetry MRI is a useful modality to explore cardiovascular pathologies, but requires the automatic segmentation of vessels. In this paper, we evaluate the ability of region-based active contours to efficiently segment carotid vessels, compared to traditionnal edge-based active contours considered in related works. Experiments are performed using both a sequence of a homemade phantom and a sequence of a patient carotid which has been manually analyzed by a radiologist expert. Results obtained on phantom sequence show that the edge-based approach leads to an underestimate of carotid lumen area and related flows of respectively 18.4 % and 3.6 %. This appears significantly larger than weak errors obtained using the region-based approach (respectively 2.3 % and 0.7 %). Benefits appear even better on the patient sequence. The edge-based approach leads to underestimates of 20.5 % for areas and 13.8 % for blood flows, compared to limited errors of 5.2 % and 4 % with our proposal. This improvement is confirmed by similarity indices used to compare segmentations.
颈动脉相衬MRI计算机辅助分析的基于区域的活动轮廓
相对比(PC)速度测量MRI是一种有效的方式来探索心血管病理,但需要自动分割血管。在本文中,我们评估了基于区域的活动轮廓有效分割颈动脉血管的能力,与相关工作中考虑的传统的基于边缘的活动轮廓相比。实验使用自制的假体序列和由放射科专家手工分析的患者颈动脉序列进行。幻象序列结果显示,边缘入路导致颈动脉管腔面积和相关流量分别低估18.4%和3.6%。这明显大于使用基于区域的方法获得的微弱误差(分别为2.3%和0.7%)。在病人序列上的益处更大。基于边缘的方法导致面积低估20.5%,血流低估13.8%,而我们的建议的有限误差分别为5.2%和4%。这种改进通过用于比较分割的相似性指数得到证实。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
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