Paper
1 March 2011 Alternative statistical methods for bone atlas modelling
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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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sharmishtaa Seshamani, Gouthami Chintalapani, and Russell Taylor "Alternative statistical methods for bone atlas modelling", Proc. SPIE 7964, Medical Imaging 2011: Visualization, Image-Guided Procedures, and Modeling, 79642O (1 March 2011); https://doi.org/10.1117/12.878686
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Cited by 3 scholarly publications.
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KEYWORDS
Principal component analysis

Modeling

Data modeling

Bone

Statistical modeling

Error analysis

Matrices

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