Presentation 2012-05-18
Automated anatomical labeling of vessels based on optimal path finding betwxeen great vessels and organs from multi-phase 3D CT images : Improvement of optimal path finding
Yuki SUZUKI, MASATOSHI Okada, Futoshi YOKOTA, Masatoshi HORI, Noriyuki TOMIYAMA, Yoshinobu SATO,
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Abstract(in English) A fully automated method is described for segmentation and anatomical labeling of the abdominal vessels from contrast-enhanced CT data of the upper abdomen. By assuming that the regions of the organs and great vessels have already been automatically segmented, the problem is formulated as extracting and selecting the optimal paths between the organ and great vessel regions based on a basic anatomical constraint that vessels supplying blood to an organ consists of tree structures whose root nodes are located in the great vessel region and leaf nodes in the organ region. Using the constraint, the proposed method solves both of vessel segmentation and anatomical labeling. In addition, the method is robust against topological variability of the branching patterns. Experimental results using 10 datasets demonstrate that the proposed method was effectively applied to several kinds of the abdominal arteries. The average F-measure was 0.89 for proposed and 0.74 for previous methods.
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Keyword(in English) Irregular topology / Branching structures / Multi-organ segmentation
Paper # IE2012-32,PRMU2012-17,MI2012-17
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Conference Information
Committee PRMU
Conference Date 2012/5/10(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automated anatomical labeling of vessels based on optimal path finding betwxeen great vessels and organs from multi-phase 3D CT images : Improvement of optimal path finding
Sub Title (in English)
Keyword(1) Irregular topology
Keyword(2) Branching structures
Keyword(3) Multi-organ segmentation
1st Author's Name Yuki SUZUKI
1st Author's Affiliation School of Engineering Science, Osaka University()
2nd Author's Name MASATOSHI Okada
2nd Author's Affiliation Graduate School of Medicine, Osaka University
3rd Author's Name Futoshi YOKOTA
3rd Author's Affiliation Graduate School of Engineering, Kobe University
4th Author's Name Masatoshi HORI
4th Author's Affiliation Graduate School of Medicine, Osaka University
5th Author's Name Noriyuki TOMIYAMA
5th Author's Affiliation Graduate School of Medicine, Osaka University
6th Author's Name Yoshinobu SATO
6th Author's Affiliation School of Engineering Science, Osaka University:Graduate School of Medicine, Osaka University
Date 2012-05-18
Paper # IE2012-32,PRMU2012-17,MI2012-17
Volume (vol) vol.112
Number (no) 37
Page pp.pp.-
#Pages 6
Date of Issue