18 March 2014 A method for automatic liver segmentation from multi-phase contrast-enhanced CT images
Author Affiliations +
Abstract
Liver segmentation is a basic and indispensable function in systems of computer aided liver surgery for volume calculation, operation designing and risk evaluation. Traditional manual segmentation is very time consuming because of the complicated contours of liver and the big amount of images. For increasing the efficiency of the clinical work, in this paper, a fully-automatic method was proposed to segment the liver from multi-phase contrast-enhanced computed tomography (CT) images. As an advanced region growing method, we applied various pre- and post-processing to get better segmentation from the different phases. Fifteen sets of clinical abdomens CT images of five patients were segmented by our algorithm, and the results were acceptable and evaluated by an experienced surgeon. The running-time is about 30 seconds for a single-phase data which includes more than 200 slices.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rong Yuan, Ming Luo, Shaofa Wang, Luyao Wang, Qingguo Xie, "A method for automatic liver segmentation from multi-phase contrast-enhanced CT images", Proc. SPIE 9035, Medical Imaging 2014: Computer-Aided Diagnosis, 90353H (18 March 2014); doi: 10.1117/12.2043580; https://doi.org/10.1117/12.2043580
PROCEEDINGS
6 PAGES


SHARE
Back to Top