Adaptive directional region growing segmentation of the hepatic vasculature

Qingyang Shang, Logan Clements, Robert L. Galloway, William C. Chapman, Benoit M. Dawant

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations


Accurate analysis of the hepatic vasculature is of great importance for many medical applications, such as liver surgical planning and diagnosis of tumors and/or vascular diseases. Vessel segmentation is a pivotal step for the morphological and topological analysis of the vascular systems. Physical imaging limitations together with the inherent geometrical complexity of the vessels make the problem challenging. In this paper, we propose a series of methods and techniques that separate and segment the portal vein and the hepatic vein from CT images, and extract the centerlines of both vessel trees. We compare the results obtained with our iterative segmentation-and-reconnection approach with those obtained with a traditional region growing method, and we show that our results are substantially better.

Original languageEnglish
Title of host publicationMedical Imaging 2008
Subtitle of host publicationImage Processing
StatePublished - 2008
EventMedical Imaging 2008: Image Processing - San Diego, CA, United States
Duration: Feb 17 2008Feb 19 2008

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2008: Image Processing
Country/TerritoryUnited States
CitySan Diego, CA


  • Locally adaptive region growing
  • Vessel segmentation
  • Vessel skeletonization


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