Alternative statistical methods for bone atlas modelling

Sharmishtaa Seshamani, Gouthami Chintalapani, Russell H Taylor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traditional bone atlas modelling is carried out using linear methods such as PCA. Such linear models use a mean shape and principal modes to represent the atlas. A new shape, which is a high dimensional data vector, is then described using this mean and a weighted combination of the principal modes. The use of alternate methods for modelling statistical atlases have not been explored very much. Recently, there has been a lot of new work in the areas of multilinear modelling and nonlinear modelling. They present new ways of modelling high dimensional data. In this work, we compare and contrast several linear, multilinear and nonlinear methods for bone atlas modelling.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7964
DOIs
Publication statusPublished - 2011
EventMedical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling - Lake Buena Vista, FL, United States
Duration: Feb 13 2011Feb 15 2011

Other

OtherMedical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling
CountryUnited States
CityLake Buena Vista, FL
Period2/13/112/15/11

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Seshamani, S., Chintalapani, G., & Taylor, R. H. (2011). Alternative statistical methods for bone atlas modelling. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7964). [79642O] https://doi.org/10.1117/12.878686