Statistical shape models of cuboid, navicular and talus bones
Autor: | D. Robert Iskander, Patryk Romaszkiewicz, Aleksandra Melińska, Justyna Wagel, Bartlomiej Antosik, Marek Sasiadek |
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Jazyk: | angličtina |
Předmět: |
Adult
Male Models Anatomic Adolescent Cuboid Bone model 02 engineering and technology Talus 030218 nuclear medicine & medical imaging Young Adult 03 medical and health sciences 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering Humans Medicine Orthopedics and Sports Medicine Spherical harmonics Retrospective Studies Parametric statistics Models Statistical business.industry Research Morphometry Biomechanics Navicular Pattern recognition Tarsal Bones Image segmentation Anatomy Middle Aged Tarsal Bone Calcaneus Shape modelling Feature (computer vision) 020201 artificial intelligence & image processing Artificial intelligence business |
Zdroj: | Journal of Foot and Ankle Research |
ISSN: | 1757-1146 |
DOI: | 10.1186/s13047-016-0178-x |
Popis: | Background The aim was to develop statistical shape models of the main human tarsal bones that would result in novel representations of cuboid, navicular and talus. Methods Fifteen right and 15 left retrospectively collected computed tomography data sets from male individuals, aged from 17 to 63 years, with no known foot pathology were collected. Data were gathered from 30 different subjects. A process of model building includes image segmentation, unifying feature position, mathematical shape description and obtaining statistical shape geometry. Results Orthogonal decomposition of bone shapes utilising spherical harmonics was employed providing means for unique parametric representation of each bone. Cross-validated classification results based on parametric spherical harmonics representation showed high sensitivity and high specificity greater than 0.98 for all considered bones. Conclusions The statistical shape models of cuboid, navicular and talus created in this work correspond to anatomically accurate atlases that have not been previously considered. The study indicates high clinical potential of statistical shape modelling in the characterisation of tarsal bones. Those novel models can be applied in medical image analysis, orthopaedics and biomechanics in order to provide support for preoperative planning, better diagnosis or implant design. Electronic supplementary material The online version of this article (doi:10.1186/s13047-016-0178-x) contains supplementary material, which is available to authorized users. |
Databáze: | OpenAIRE |
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