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 contribution

12 Scopus citations

Abstract

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
DOIs
StatePublished - May 22 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
Volume6914
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2008: Image Processing
CountryUnited States
CitySan Diego, CA
Period02/17/0802/19/08

Keywords

  • Locally adaptive region growing
  • Vessel segmentation
  • Vessel skeletonization

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    Shang, Q., Clements, L., Galloway, R. L., Chapman, W. C., & Dawant, B. M. (2008). Adaptive directional region growing segmentation of the hepatic vasculature. In Medical Imaging 2008: Image Processing [69141F] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6914). https://doi.org/10.1117/12.769565