Resolution mosaic EM algorithm for medical image segmentation

Multiresolution analysis is an established part of the human vision system. It builds different representations of an image with a spatial resolution adapted to the size of objects of interest and to its level of relevance. Multiresolution analysis is an efficient tool for image segmentation. It all...

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Bibliographic Details
Published in2009 International Conference on High Performance Computing and Simulation pp. 208 - 215
Main Authors Salem, M.A.-M., Meffert, B.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Biomedical imaging
Computer vision
Expectation Maximization
Humans
Image resolution
Image segmentation
Information Relevance
Layout
Magnetic Resonance Images
Multiresolution
Multiresolution analysis
Signal resolution
Spatial resolution
Wavelet
Wavelet transforms
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ISBN1424449065
9781424449064
DOI10.1109/HPCSIM.2009.5192800

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Summary:Multiresolution analysis is an established part of the human vision system. It builds different representations of an image with a spatial resolution adapted to the size of objects of interest and to its level of relevance. Multiresolution analysis is an efficient tool for image segmentation. It allows the processing of global features as well as local features in a corresponding proper scale. Furthermore, it simplifies the segmentation process, accelerates the computation, and improves the results. In this work we propose a segmentation algorithm that is based on the multiresolution analysis for the magnetic resonance images of the human brain. It has been evaluated against known algorithm from the literature. The image subject to segmentation is preprocessed to be represented in a mosaic of different resolutions, based on the distribution of the information contained in the image. Then the conventional EM algorithm is applied for the segmentation.
ISBN:1424449065
9781424449064
DOI:10.1109/HPCSIM.2009.5192800