Cargando…
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...
Autores principales: | Khan, Nawazish, Peterson, Andrew C., Aubert, Benjamin, Morris, Alan, Atkins, Penny R., Lenz, Amy L., Anderson, Andrew E., Elhabian, Shireen Y. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978224/ https://www.ncbi.nlm.nih.gov/pubmed/36873362 http://dx.doi.org/10.3389/fbioe.2023.1089113 |
Ejemplares similares
-
Statistical shape modeling of multi-organ anatomies with shared boundaries
por: Iyer, Krithika, et al.
Publicado: (2023) -
Learning spatiotemporal statistical shape models for non-linear dynamic anatomies
por: Adams, Jadie, et al.
Publicado: (2023) -
Multi-level multi-domain statistical shape model of the subtalar, talonavicular, and calcaneocuboid joints
por: Peterson, Andrew C., et al.
Publicado: (2022) -
Editorial: Statistical model-based computational biomechanics: applications in joints and internal organs
por: Borotikar, Bhushan, et al.
Publicado: (2023) -
Which Radiographic Measurements Best Identify Anatomical Variation in Femoral Head Anatomy? Analysis Using 3D Computed Tomography and Statistical Shape Modeling
por: Anderson, Andrew, et al.
Publicado: (2016)