Venous Tree Separation based on Local Feature
Authors: 
Yuhan Liu, Tianyu Fu, Qing Guo, Jingfan Fan, Hong Song, Yurong Jiang, Jian YangAuthors Info & Claims
Pages 97 - 101
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.
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Published In
June 2020
383 pages
ISBN:9781450376877
DOI:10.1145/3408127
Copyright © 2020 ACM.
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- University of Electronic Science and Technology of China: University of Electronic Science and Technology of China
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 September 2020
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ICDSP 2020
ICDSP 2020: 2020 4th International Conference on Digital Signal Processing
June 19 - 21, 2020
Chengdu, China
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