S. Herlidou et al., Comparison of automated and visual texture analysis in MRI: Characterization of normal and diseased skeletal muscle, MAGN RES IM, 17(9), 1999, pp. 1393-1397
Automated magnetic resonance imaging (MRI) texture analysis was compared wi
th visual MRT analysis for the diagnosis of skeletal muscle dystrophy in 14
healthy and 17 diseased subjects. MRI texture analysis was performed on 8
muscle regions of interest (ROI) using four statistical methods (histogram,
co-occurrence matrix, gradient matrix, runlength matrix) and one structura
l (mathematical morphology) method. Nine senior radiologists assessed full
leg transverse slice images and proposed a diagnosis. The 59 extracted text
ure parameters for each ROI were statistically analyzed by Correspondence F
actorial Analysis, Non-parametric tests,were used to compare diagnoses base
d on automated texture analysis and visual analysis. Texture analysis metho
ds discriminated between healthy volunteers and patients with a sensitivity
of 70%, and a specificity of 86%, Comparison with visual analysis of MR im
ages suggests that texture analysis can provide useful information contribu
ting to the diagnosis of skeletal muscle disease. (C) 1999 Elsevier Science
Inc.