Author:
Joanna Czajkowska
Affiliation:
University of Siegen and Silesian University of Technology, Germany
Keyword(s):
Model based Analysis, Fuzzy Interference System, Fuzzy Connectedness Analysis, Gaussian Mixture Model.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
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Biomedical Engineering
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Biomedical Signal Processing
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Computational Intelligence
;
Computer-Supported Education
;
Domain Applications and Case Studies
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Fuzzy Image, Speech and Signal Processing, Vision and Multimedia
;
Fuzzy Systems
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Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Industrial, Financial and Medical Applications
;
Methodologies and Methods
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Neural Networks
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Neurocomputing
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Neurotechnology, Electronics and Informatics
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Pattern Recognition
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Physiological Computing Systems
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Sensor Networks
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Signal Processing
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Soft Computing
;
Theory and Methods
Abstract:
In this paper, a new fuzzy model based algorithm for 3-D bone tumour segmentation in MR series is introduced. The presented segmentation procedure is based on a modified fuzzy connectedness method. The there required fuzzy affinity values are estimated using a fuzzy inference system, whose fuzzy membership functions are structured on the basis of gaussian mixture model of analyzed image regions. The 3-D fuzzy tumour model is generated using different MR modalities acquired during a single examination. The segmentation abilities of prototype system have been tested on a MR database consisting of 27 examinations composed of two different sequences each.