DocumentCode :
392503
Title :
3D morphological analysis of brain MRI using wavelets
Author :
Pinto, Silvia C D ; Cesar, R.M. ; Gokcay, Didem ; Costa, Luciano Da F
Author_Institution :
Cybern. Vision Res. Group, Univ. de Sao Paulo, Sao Carlos, Brazil
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
399
Abstract :
This article describes the use of the 2D wavelet transform to estimate the multiscale gradient of two types of cortical sulci, from which two potentially discriminating features, namely the gradient mean magnitude and entropy of its orientation distributions, are calculated. The obtained results corroborate the potential of such multiscale geometrical features for identification of narrow and wide cortical sulci, and important problem in medical imaging. The spatial scale leading to better discrimination is also identified.
Keywords :
biomedical MRI; brain; entropy; gradient methods; mathematical morphology; medical image processing; object detection; object recognition; parameter estimation; wavelet transforms; 2D wavelet transform; 3D morphological analysis; brain MRI; cortical sulci identification; entropy; gradient mean magnitude; multiscale gradient; orientation distributions; Biomedical imaging; Computer science; Cybernetics; Entropy; Fractals; Image processing; Magnetic resonance imaging; Shape measurement; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
Type :
conf
DOI :
10.1109/ICDSP.2002.1189669
Filename :
1189669
Link To Document :
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