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Proceedings Paper

Alternative statistical methods for bone atlas modelling
Author(s): Sharmishtaa Seshamani; Gouthami Chintalapani; Russell Taylor
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Paper 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.

Paper Details

Date Published: 1 March 2011
PDF: 11 pages
Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79642O (1 March 2011); doi: 10.1117/12.878686
Show Author Affiliations
Sharmishtaa Seshamani, The Johns Hopkins Univ. (United States)
Gouthami Chintalapani, The Johns Hopkins Univ. (United States)
Russell Taylor, The Johns Hopkins Univ. (United States)

Published in SPIE Proceedings Vol. 7964:
Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; David R. Holmes, Editor(s)

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