Enabling supra-aortic vessels inclusion in statistical shape models of the aorta: a novel non-rigid registration method.

ABSTRACT: Statistical Shape Models (SSMs) are well-established tools for assessing the variability of 3D geometry and for broadening a limited set of shapes. They are widely used in medical imaging due to their ability to model complex geometries and their high efficiency as generative models. The principal step behind these techniques is a registration phase, which, in the case of complex geometries, can be a critical issue due to the correspondence problem, as it necessitates the development of correspondence mapping between shapes. The thoracic aorta, with its high level of morphological complexity, poses a multi-scale deformation problem due to the presence of several branch vessels with varying diameters. Moreover, branch vessels exhibit significant variability in shape, making the corresponden

SUBMITTER: Scarpolini MA 

PROVIDER: S-EPMC10450506 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature