Learning spatiotemporal statistical shape models for non-linear dynamic anatomies [PDF]
Frontiers in Bioengineering and Biotechnology, 2023 Numerous clinical investigations require understanding changes in anatomical shape over time, such as in dynamic organ cycle characterization or longitudinal analyses (e.g., for disease progression). Spatiotemporal statistical shape modeling (SSM) allows
Jadie Adams +7 more
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Correction: Linking statistical shape models and simulated function in the healthy adult human heart [PDF]
PLoS Computational Biology, 2022 [This corrects the article DOI: 10.1371/journal.pcbi.1008851.].
Cristobal Rodero +11 more
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Linking statistical shape models and simulated function in the healthy adult human heart. [PDF]
PLoS Computational Biology, 2021 Cardiac anatomy plays a crucial role in determining cardiac function. However, there is a poor understanding of how specific and localised anatomical changes affect different cardiac functional outputs.
Cristobal Rodero +11 more
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Probabilistic Evaluation of 3D Surfaces Using Statistical Shape Models (SSM) [PDF]
Sensors, 2020 Inspecting a 3D object which shape has elastic manufacturing tolerances in order to find defects is a challenging and time-consuming task. This task usually involves humans, either in the specification stage followed by some automatic measurements, or in
Javier Pérez +3 more
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Separating positional noise from neutral alignment in multicomponent statistical shape models [PDF]
Bone Reports, 2020 Given sufficient training samples, statistical shape models can provide detailed population representations for use in anthropological and computational genetic studies, injury biomechanics, musculoskeletal disease models or implant design optimization ...
E.A. Audenaert +5 more
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Development and validation of statistical shape models of the primary functional bone segments of the foot [PDF]
PeerJ, 2020 Introduction Musculoskeletal models are important tools for studying movement patterns, tissue loading, and neuromechanics. Personalising bone anatomy within models improves analysis accuracy.
Tamara M. Grant +7 more
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Enabling supra-aortic vessels inclusion in statistical shape models of the aorta: a novel non-rigid registration method [PDF]
Frontiers in Physiology, 2023 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 ...
Martino Andrea Scarpolini +4 more
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Exploring shape changes in healthy bone growth through 3D spatiotemporal statistical shape models: A scoping review [PDF]
Bone ReportsObjective: Analyzing population trends of bone shape variation can provide valuable insights into growth processes. This review aims to overview state-of-the-art spatiotemporal statistical shape modeling techniques, emphasizing their application to 3D ...
Lily E. de Vries +4 more
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Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models. [PDF]
PLoS ONE, 2020 BackgroundThree-dimensional (3D) scanning is an established method of breast volume estimation. However, this method can never be entirely precise, since the thoracic wall cannot be imaged by the surface scanner.
Michael W Göpper +4 more
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Automatic construction of statistical shape models using deformable simplex meshes with vector field convolution energy [PDF]
BioMedical Engineering OnLine, 2017 Background In the active shape model framework, principal component analysis (PCA) based statistical shape models (SSMs) are widely employed to incorporate high-level a priori shape knowledge of the structure to be segmented to achieve robustness.
Jinke Wang, Changfa Shi
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