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

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 s...

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Auteurs principaux:	Martino Andrea Scarpolini, Marilena Mazzoli, Simona Celi
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2023-08-01
Collection:	Frontiers in Physiology
Sujets:	statistical shape model non-rigid registration deformable surface thoracic aorta supra-aortic vessels correspondence optimization
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fphys.2023.1211461/full
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