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Title page for ETD etd-03222010-183706

Type of Document Dissertation
Author Shang, Qingyang
Author's Email Address qingyang.shang@vanderbilt.edu
URN etd-03222010-183706
Title separation and segmentation of the hepatic vasculature in CT images
Degree PhD
Department Electrical Engineering
Advisory Committee
Advisor Name Title
Benoit M. Dawant Committee Chair
D. Mitchell Wilkes Committee Member
J. Michael Fitzpatrick Committee Member
Robert L. Galloway Committee Member
Zhaohua Ding Committee Member
  • Hepatic vessel
  • CT liver images
  • vessel separation
  • vessel segmentation
Date of Defense 2009-12-09
Availability unrestricted
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 work, we present an automatic method to separate and render the portal and hepatic veins in multi-phase CT images. This methods involve image enhancement using an Hessian filter, automatic selection of thresholds to separate vasculature and liver parenchyma, and an iterative classification step for vessel separation. We also propose a series of methods and techniques that segment the portal vein and the hepatic vein, and extract the centerlines of both vessel trees. The approaches have been tested with success on clinical multiphase CT data sets acquired as part of the standard delivery of care.
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