Adaptive directional region growing segmentation of the hepatic vasculature

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

doi:10.1117/12.769565

26 March 2008 Adaptive directional region growing segmentation of the hepatic vasculature

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

Proceedings Volume 6914, Medical Imaging 2008: Image Processing; 69141F (2008) https://doi.org/10.1117/12.769565
Event: Medical Imaging, 2008, San Diego, California, United States

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.

Citation Download Citation

Qingyang Shang, Logan Clements, Robert L. Galloway, William C. Chapman M.D., and Benoit M. Dawant "Adaptive directional region growing segmentation of the hepatic vasculature", Proc. SPIE 6914, Medical Imaging 2008: Image Processing, 69141F (26 March 2008); https://doi.org/10.1117/12.769565

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available