Automatic estimation of optimal resected liver regions considering practical surgical conditions

Masanori Hariyama, Takeaki Suzuki, Keisuke Maeda, Mitsugi Shimoda, Keiichi Kubota

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

1 Citation (Scopus)

Abstract

This article presents an automatic approach to estimate optimal resected-liver regions for oncologic surgery planning considering practical surgical conditions. Since the liver has complex vessel structure, it is difficult for human to find optimal resected liver regions. We provide efficient approaches for two types of practical problems: (1) Finding an optimal resected region under cut volume limitation, and (2) Finding an optimal cut surface based on a 3-dimensional(3-D) parabola model. For both problems, a tumor domination ratio is efficiently used to find all portal vessels related to tumors. The experimental results demonstrate that the resected liver regions of the proposed approach are much smaller than those of the conventional manual approach in most cases.

Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015
EditorsHamid R. Arabnia, Leonidas Deligiannidis, Fernando G. Tinetti, George Jandieri, Gerald Schaefer, Ashu M. G. Solo
PublisherCSREA Press
Pages356-360
Number of pages5
ISBN (Electronic)1601324049, 9781601324047
Publication statusPublished - 2015 Jan 1
Event2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015 - Las Vegas, United States
Duration: 2015 Jul 272015 Jul 30

Publication series

NameProceedings of the 2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015

Conference

Conference2015 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2015, at WORLDCOMP 2015
CountryUnited States
CityLas Vegas
Period15/7/2715/7/30

Keywords

  • 3D simulation analysis
  • Anatomic hepatectomy
  • Local thickness
  • Medical imaging

ASJC Scopus subject areas

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

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