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