Fuzzy framework for joint segmentation and registration of brain MRI with prior information

This paper introduces a fuzzy framework for the simultaneous segmentation and registration of MRI datasets. The framework utilizes prior information which may be available about the class center and class's pixels distribution through the datasets. The algorithm is evaluated using phantom and r...

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Bibliographic Details
Published inThe 2010 International Conference on Computer Engineering & Systems pp. 9 - 14
Main Authors El-Melegy, M, Mokhtar, H
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2010
Subjects
Accuracy
Brain modeling
Brain MRI
Fuzzy C-means
Image segmentation
Integrated circuits
Magnetic resonance imaging
Noise
Prior information
Silicon
Simultaneous Segmentation and Registration
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Summary:This paper introduces a fuzzy framework for the simultaneous segmentation and registration of MRI datasets. The framework utilizes prior information which may be available about the class center and class's pixels distribution through the datasets. The algorithm is evaluated using phantom and real medical MRI brain volume. The results show that the algorithm has considerable accuracy for segmentation and affine registration. The algorithm needs a small number of iterations to reach convergence compared with other similar algorithms.
ISBN:1424470404
9781424470402
DOI:10.1109/ICCES.2010.5674904