EPJ Nonlinear Biomedical Physics · 2015 · 30 citations · 44 references
MedicineRadiologyDiagnostic ImagingDiagnostic RadiologyHistologyImaging InterpretationMagnetic Resonance ImagingMagnetic Resonance Imaging PhysicsMedical Image AnalysisMedical ImagingTexture AnalysisComputerized Image AnalysisHistological TopographyMagnetic ResonanceMagnetic Resonance Image FeaturesMagnetic Resonance Imaging Muscle AnalysisMagnetic Resonance Imaging Muscle AssessmentMuscle Magnetic Resonance ImagingMusculoskeletal Magnetic Resonance Imaging
Several previous clinical or preclinical studies using computerized texture analysis of MR Images have demonstrated much more clinical discrimination than visual image analysis by the radiologist. In muscular dystrophy, a discriminating power has been already demonstrated with various methods of texture analysis of magnetic resonance images (MRI-TA). Unfortunately, a scale gap exists between the spatial resolutions of histological and MR images making a direct correlation impossible. Furthermore, the effect of the various histological modifications on the grey level of each pixel is complex and cannot be easily analyzed. Consequently, clinicians will not accept the use of MRI-TA in routine practice if TA remains a “black box” without clinical correspondence at a tissue level. A goal therefore of the multicenter European COST action MYO-MRI is to optimize MRI-TA methods in muscular dystrophy and to elucidate the histological meaning of MRI textures.
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