Three-dimensional texture analysis of MRI brain datasets

Author

Kovalev, Vassili A. ; Kruggel, Frithjof ; Gertz, Hermann-Josef ; Von Cramon, D. Yves

Author_Institution

Max-Planck Inst. of Cognitive Neurosci., Leipzig, Germany

Volume

20

Issue

5

fYear

2001

fDate

5/1/2001 12:00:00 AM

Firstpage

424

Lastpage

433

Abstract

A method is proposed for three-dimensional (3-D) texture analysis of magnetic resonance imaging brain datasets. It is based on extended, multisort co-occurrence matrices that employ intensity, gradient and anisotropy image features in a uniform way. Basic properties of matrices as well as their sensitivity and dependence on spatial image scaling are evaluated. The ability of the suggested 3-D texture descriptors is demonstrated on nontrivial classification tasks for pathologic findings in brain datasets.

Keywords

biomedical MRI; brain; diseases; image texture; matrix algebra; medical image processing; MRI brain datasets; anisotropy image features; extended multisort cooccurrence matrices; gradient; intensity; magnetic resonance imaging brain datasets; medical diagnostic imaging; neurodegenerative diseases; nontrivial classification tasks; pathologic findings; spatial image scaling; suggested 3D texture descriptors; three-dimensional texture analysis; Anisotropic magnetoresistance; Diseases; Image analysis; Image edge detection; Image recognition; Image texture analysis; Lesions; Magnetic analysis; Magnetic resonance imaging; Neuroscience; Brain; Data Interpretation, Statistical; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Rotation; Sensitivity and Specificity;

fLanguage

English

Journal_Title

Medical Imaging, IEEE Transactions on

Publisher

ieee

ISSN

0278-0062

Type

jour

DOI

10.1109/42.925295

Filename

925295