Automatic liver contour segmentation using GVF snake

Fan Liu; Binsheng Zhao; Peter Kijewski; Michelle S. Ginsberg; Liang Wang; Lawrence H. Schwartz

doi:10.1117/12.535276

12 May 2004 Automatic liver contour segmentation using GVF snake

Fan Liu, Binsheng Zhao, Peter Kijewski, Michelle S. Ginsberg, Liang Wang, Lawrence H. Schwartz

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.535276
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

Liver segmentation is critical for the development of algorithms to detect and define focal lesions. It is also helpful in presurgical planning for hepatic resection and to gauge the results of therapies. The purpose of this study was to develop a computerized method for extraction of liver contours on contrast-enhanced hepatic CT. The method is based on a snake algorithm with Gradient Vector Flow (GVF) field as its external force, which uses an edge map and an initial contour as its starting point. A Canny edge algorithm is thus applied to obtain the initial edge map. To suppress edges inside liver parenchyma, a liver template determined by analyzing the histogram of the liver image is employed. Based on the modified edge map, the GVF field is then computed in an iterative manner. Due to the finite iteration step, an area uncovered by the GVF field in the liver can be extracted and serves as an initial contour for the snake algorithm. Preliminary results have shown the potential of separating the liver from its adjacent structures (e.g., kidney and stomach) of similar densities.

Citation Download Citation

Fan Liu, Binsheng Zhao, Peter Kijewski, Michelle S. Ginsberg, Liang Wang, and Lawrence H. Schwartz "Automatic liver contour segmentation using GVF snake", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.535276

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