Estimation of resected liver regions using a tumor domination ratio

Masanori Hariyama, Moe Okada, Mitsugi Shimoda, Keiichi Kubota

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This article presents an automatic approach to estimate optimal resected-liver regions for oncologic surgery planning. Usually, resected liver regions are determined by selecting cut points on the portal vessels on 3D simulation software. Since the liver has complex vessel structure, it is difficult for human to find optimal resected liver regions. To solve this problem, a tumor domination ratio is proposed to find all portal vessels related to tumors. The tumor domination ratio allows us to compute the ideal resected region, that is, all the perfusion territories related to the tumor. Moreover, some types of conditions such as the size of vessels are considered for practical surgical use. The experimental results demonstrate that the resected liver regions of the proposed approach are much smaller than those of the conventional approach in most cases.

Original languageEnglish
Title of host publicationProceedings of the 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Joan Lu, Fernando G. Tinetti, Jane You, George Jandieri, Gerald Schaefer, Ashu M. G. Solo
PublisherCSREA Press
Pages52-56
Number of pages5
ISBN (Electronic)1601322801, 9781601322807
Publication statusPublished - 2014 Jan 1
Event2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014, at WORLDCOMP 2014 - Las Vegas, United States
Duration: 2014 Jul 212014 Jul 24

Publication series

NameProceedings of the 2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014

Conference

Conference2014 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2014, at WORLDCOMP 2014
CountryUnited States
CityLas Vegas
Period14/7/2114/7/24

Keywords

  • 3D simulation analysis
  • Anatomic hepatectomys
  • Medical imaging

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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