Paper Info
Title
3D statistical models of the aorta and the supra-aortic branches
Abstract
We introduce a new approach for creating 3D statistical models of the aorta and supra-aortic branches to investigate the variability of the human aorta based on MRA image data. The approach includes 3D segmentation and quantification using a novel curved cylindrical intensity model as well as 3D normalization and correspondence finding. In addition to a statistical model for all subjects we have also created individual models which are gender and age matched to determine age-related morphologic changes.
Year
DOI
Venue
2015
10.1109/ISBI.2015.7164179
IEEE International Symposium on Biomedical Imaging
Keywords
DocType
ISSN
Statistical aorta model, 3D curved cylindrical intensity model, 4D NAM, 3D MRA
Conference
1945-7928
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
Stefan Wörz125632.58
Hendrik von Tengg-Kobligk2216.84
Karl Rohr334048.69