Venous Tree Separation based on Local Feature

Yuhan Liu, Tianyu Fu, Qing Guo, Jingfan Fan, Hong Song, Yurong Jiang, Jian Yang
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Abstract

The extraction of hepatic and portal vein structures from abdominal CT angiography (CTA) series plays an important role in the preoperative planning and intraoperative navigation of liver surgery. This study proposes a novel method for liver venous tree separation to solve touching hepatic and portal vessels. The proposed method initially focuses on extracting the connected minimal path. Intersections and bifurcation points are obtained through topologic analysis. Then, the proposed method analyzes the local features of breakpoints to separate the venous tree. Lastly, a blood flow direction-based branch completion for breakpoints is proposed to obtain more accurate vascular structures. The segmentation results of the hepatic and portal vein are reconstructed. Our method is tested on 19 clinical CTA series, and our method is demonstrated its effectiveness.
基于局部特征的静脉树分离
腹部CT血管造影(CTA)系列中肝脏和门静脉结构的提取对肝脏手术的术前规划和术中导航具有重要作用。本研究提出了一种新的肝静脉树分离方法,以解决肝和门静脉接触的问题。该方法最初侧重于提取连通的最小路径。通过拓扑分析得到了相交点和分岔点。然后,通过分析断点的局部特征来分离静脉树;最后,提出了一种基于血流方向的断点分支补全方法,以获得更精确的血管结构。重建了肝静脉和门静脉的分割结果。我们的方法在19个临床CTA系列上进行了测试,证明了我们的方法是有效的。
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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