Statistical multi-level shape models for scalable modeling of multi-organ anatomies

Statistical multi-level shape models for scalable modeling of multi-organ anatomies

Statistical shape modeling is an indispensable tool in the quantitative analysis of anatomies. Particle-based shape modeling (PSM) is a state-of-the-art approach that enables the learning of population-level shape representation from medical imaging data (e.g., CT, MRI) and the associated 3D models...

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Bibliographic Details
Main Authors: Nawazish Khan, Andrew C. Peterson, Benjamin Aubert, Alan Morris, Penny R. Atkins, Amy L. Lenz, Andrew E. Anderson, Shireen Y. Elhabian
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
computational anatomy
hierarchical statistical models
statistical shape modeling
computational morphometrics
shape and relative pose models
vertebra
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2023.1089113/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2023.1089113/full

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