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3D Active Vessel Tracking Using an Elliptical Prior

Authors
 Jiwoo Kang  ;  Suwoong Heo  ;  Woo Jin Hyung  ;  Joon Seok Lim  ;  Sanghoon Lee 
Citation
 IEEE Transactions on Image Processing, Vol.27(12) : 5933-5946, 2018 
Journal Title
 IEEE Transactions on Image Processing 
Issue Date
2018
Abstract
In this paper, we propose a novel vessel tracking method, called active vessel tracking (AVT). The proposed method retains the major advantages that most 2D segmentation methods have demonstrated for 3D tracking while overcoming the drawbacks of previous 3D vessel tracking methods. Under the assumption that the vessel is cylindrical, thereby making its cross-section elliptical, the AVT finds a plane perpendicular to the vessel axis while tracking the vessel along its length. Also, We propose a method for vessel branch detection to automatically track complete vascular networks from a single starting point, whereas the previously proposed solutions have usually been limited in handling vessel bifurcations precisely on 3D or have required considerable user interaction. Our results show that the method is robust and accurate in both synthetic and clinical cases. In an experiment on synthetic data sets, the proposed method achieved a tracking accuracy of 96.1±0.5, detecting 99.1% of the branches. In an experiment on abdominal CTA data sets, it achieved a tracking accuracy of 98.4±0.5 for six target vessels, detecting 98.3% of the branches. These results show that the proposed method can outperform previous methods for vessel tracking.
Full Text
https://ieeexplore.ieee.org/document/8424240
DOI
10.1109/TIP.2018.2862346
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
임준석(Lim, Joon Seok) ORCID logo https://orcid.org/0000-0002-0334-5042
형우진(Hyung, Woo Jin) ORCID logo https://orcid.org/0000-0002-8593-9214
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/166605
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