Please use this identifier to cite or link to this item:
|Title:||Statistical surface wavelets model for multiscale and spatial-localized medical image analysis||Authors:||Li, Y.
Statistical shape analysis
|Issue Date:||2006||Citation:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 22, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.