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Statistical shape modelling: automatic shape model building

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Evaluation of the Midface by Statistical Shape Modeling

Journal of Oral and Maxillofacial Surgery, 2021
The aim of this investigation was to generate a statistical shape model (SSM) of the midface and evaluate symmetry, gender aspects, and bone thickness.About 102 computed tomography scans were analyzed to create the SSM. This included segmentation, landmark attribution, and Procrustes and principal component analysis.
Thomas, Hierl, Hans-Martin, Doerfler, Heike, Huempfner-Hierl, Daniel, Kruber   +3 more
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Statistical Shape and Appearance Models in Osteoporosis

Current Osteoporosis Reports, 2014
Statistical models (SMs) of shape (SSM) and appearance (SAM) have been acquiring popularity in medical image analysis since they were introduced in the early 1990s. They have been primarily used for segmentation, but they are also a powerful tool for 3D reconstruction and classification. All these tasks may be required in the osteoporosis domain, where
Castro-Mateos, Isaac, Pozo, Jose M., Cootes, Timothy F.; id_orcid 0000-0002-2695-9063, Wilkinson, J. Mark, Eastell, Richard, Frangi, Alejandro F.; id_orcid 0000-0002-2675-528X   +5 more
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Evaluation of a Statistical Shape Model for the Liver

2018 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2018
A statistical shape model (SSM)for the liver has been proposed recently which is based on a cubic Hermite mesh with a small number of elements. By fitting to the data cloud of a liver surface, such a mesh is capable of capturing the complex liver shape with fine details.
Zhihui Lu 0004, Akinobu Shimizu, Harvey Ho   +2 more
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Statistical shape models of plant leaves

2013 IEEE International Conference on Image Processing, 2013
The shapes of plant leaves are of great importance to plant biologists and botanists, as they can help in distinguishing plant species, measuring their health, analyzing their growth patterns, and understanding relations between various species. We propose a statistical model that uses the Squared Root Velocity Function representation and a Riemannian ...
Hamid Laga, Sebastian Kurtek, Anuj Srivastava, Stanley J. Miklavcic   +3 more
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Measurement error in statistical models of shape

Computer Methods and Programs in Biomedicine, 2011
Active shape models (ASMs) are popular and sophisticated methods of extracting features in (especially medical) images. Here we analyse the error in placing ASM points on the boundary of the feature. By using replications, a corrected covariance matrix is presented that should reduce the effects of placement error.
Damian J. J. Farnell, Andrew Pickles, Christopher Roberts   +2 more
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Reparameterising 3D Statistical Shape Models

2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019
3D statistical shape models are widely used in modelling 3D shapes such as human faces and bodies. The limitation of such model is that, once built, the model can only represent 3D shape instances of a fixed mesh topology. While some applications may require a shape model of a different mesh topology, the model building pipeline has to be repeated with
Haoyang Wang 0002, Stefanos Zafeiriou
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