3D statistical models of the aorta and the supra-aortic branches

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.