Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICBPE.2006.348552
Title: Statistical surface wavelets model for multiscale and spatial-localized medical image analysis
Authors: Li, Y.
Tan, T.-S. 
Volkau, I.
Nowinski, W.L.
Keywords: Multiscale
Spatial localization
Statistical shape analysis
Wavelet
Issue Date: 2006
Source: Li, Y.,Tan, T.-S.,Volkau, I.,Nowinski, W.L. (2006). Statistical surface wavelets model for multiscale and spatial-localized medical image analysis. ICBPE 2006 - Proceedings of the 2006 International Conference on Biomedical and Pharmaceutical Engineering : 48-53. ScholarBank@NUS Repository. https://doi.org/10.1109/ICBPE.2006.348552
Abstract: Statistical shape models which represent the shape variations within a population are used in a variety of medical image applications, such as statistical shape analysis, model-guided segmentation and registration. This paper presents our Statistical Surface Wavelets Model that has three highly desirable properties of a shape model: compact representation, multi-scale shape description, and spatial-localization of the shape variation. To the best of our knowledge, there is no known prior work that achieves all these properties simultaneously. We have implemented our model to perform shape analysis. Preliminary results achieved from the cerebral lateral ventricle and caudate nucleus are encouraging. © 2006 Research Publishing Services.
Source Title: ICBPE 2006 - Proceedings of the 2006 International Conference on Biomedical and Pharmaceutical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/41993
ISBN: 8190426249
DOI: 10.1109/ICBPE.2006.348552
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