Comparison of automated and visual texture analysis in MRI: Characterization of normal and diseased skeletal muscle

Automated magnetic resonance imaging (MRI) texture analysis was compared with visual MRI 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,...

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Bibliographic Details
Published in:Magnetic resonance imaging 1999-11, Vol.17 (9), p.1393-1397
Main Authors: Herlidou, S., Rolland, Y., Bansard, J.Y., Le Rumeur, E., de Certaines, J.D.
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Biological and medical sciences
Diseases of striated muscles. Neuromuscular diseases
Female
Humans
Image Enhancement - methods
Investigative techniques, diagnostic techniques (general aspects)
Life Sciences
Magnetic Resonance Imaging - instrumentation
Magnetic Resonance Imaging - methods
Male
Mathematical Computing
Medical sciences
Middle Aged
Muscle, Skeletal - anatomy & histology
Muscle, Skeletal - pathology
Muscular Atrophy - pathology
Muscular Diseases - diagnostic imaging
Muscular Diseases - pathology
Neurology
Osteoarticular system. Muscles
Radiodiagnosis. Nmr imagery. Nmr spectrometry
Radiography
Skeletal muscle
Texture analysis
Tissue characterization
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Summary:Automated magnetic resonance imaging (MRI) texture analysis was compared with visual MRI 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 structural (mathematical morphology) method. Nine senior radiologists assessed full leg transverse slice images and proposed a diagnosis. The 59 extracted texture parameters for each ROI were statistically analyzed by Correspondence Factorial Analysis. Non-parametric tests were used to compare diagnoses based on automated texture analysis and visual analysis. Texture analysis methods discriminated between healthy volunteers and patients with a sensitivity of 70%, and a specificity of 86%. Comparison with visual analysis of MR images suggests that texture analysis can provide useful information contributing to the diagnosis of skeletal muscle disease.
ISSN:0730-725X
1873-5894
DOI:10.1016/S0730-725X(99)00066-1