DocumentCode :
3181920
Title :
Segmentation of infected tissues in MRI based on VQ-BF filtering
Author :
Graña, Manuel ; Echave, Imanol ; Ruiz-Cabello, Jesus ; Cortijo, Manuel
Author_Institution :
EHU, Univ. Politecnica de Valencia, Spain
Volume :
2
fYear :
2002
fDate :
26-30 Aug. 2002
Firstpage :
1540
Abstract :
We propose and test an hybrid procedure for the segmentation of infected tissues in MRI. The unsupervised step is the VQ-BF filtering of the MR volumes. It provides a robust preprocessing of the images, identifying basic texture elements regardless of image formation artifacts and geometric deformations. The supervised phase consist on the direct application of the empirical a posteriori distribution of the infection voxels on the VQ-BF images.
Keywords :
Bayes methods; biological tissues; biomedical MRI; filtering theory; image coding; image segmentation; image texture; medical image processing; vector quantisation; MR volumes; MRI; VQ-BF filtering; a posteriori distribution; geometric deformations; hybrid procedure; image formation artifacts; image preprocessing; image texture elements; infected tissues segmentation; infection voxels; supervised phase; vector quantization-Bayesian filter; Animal structures; Bayesian methods; Filtering; Filters; Image coding; Image processing; Image restoration; Magnetic resonance imaging; Pixel; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
Type :
conf
DOI :
10.1109/ICOSP.2002.1180089
Filename :
1180089
Link To Document :
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