| Literature DB >> 25571048 |
Jeff R Anderson, Christof Karmonik, Yannick Georg, Jean Bismuth, Alan B Lumsden, Adeline Schwein, Mickael Ohana, Fabien Thaveau, Nabil Chakfé.
Abstract
Computational studies of aortic hemodynamics require accurate and reproducible segmentation of the aortic tree from whole body, contrast enhanced CT images. Three methods were vetted for segmentation. A semi-automated approach that utilizes denoising, the extended maxima transform, and a minimal amount of manual segmentation was adopted.Mesh：
Year: 2014 PMID： 25571048 DOI： 10.1109/EMBC.2014.6944680
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN： 1557-170X