Abstract
A goal of the multicenter European Cooperation in Science and Technology (COST) action MYO-MRI is to optimize Magnetic Resonance Imaging Texture Analysis (MRI-TA) methods for application in the study of muscle disease. This paper deals with recommendations on the optimal methodology to collect the MRI data, to analyse it via texture analysis and to make conclusions from the resultant texture parameter data. A full and detailed description is provided with respect to MR image quality control, sequence choice, image pre-processing, region of interest selection, texture analysis methods and data analysis. A series of conclusions are presented.
Highlights
A goal of the multicenter European Cooperation in Science and Technology (COST) action MYO-Magnetic resonance imaging (MRI) is to optimize Magnetic Resonance Imaging Texture Analysis (MRI-Texture analysis (TA)) methods for application in the study of muscle disease
It was established in the 1970s [1] that textures could discriminate image regions and that high order properties not accessible to visual appreciation could be detected via computer analysis
Texture analysis deals with regions of an image and often these are user defined as regions of interest (ROIs) for Two dimensional imaging (2D) TA, and volumes of interest (VOIs) for Three dimensional imaging (3D) TA; example applications and results from initial 3D Magnetic Resonance Imaging Texture Analysis (MRI-TA) have already been published [5]
Summary
A goal of the multicenter European Cooperation in Science and Technology (COST) action MYO-MRI is to optimize Magnetic Resonance Imaging Texture Analysis (MRI-TA) methods for application in the study of muscle disease. Review Texture of an image region can be defined as describing the spatial relationship of pixel (or voxel) grey shades within that region It was established in the 1970s [1] that textures could discriminate image regions and that high order properties not accessible to visual appreciation could be detected via computer analysis. This article presents a series of recommendations for performing such MRI TA measurements in vivo for muscle and for analyzing and interpreting the results. Texture analysis deals with regions of an image and often these are user defined as regions of interest (ROIs) for 2D TA, and volumes of interest (VOIs) for 3D TA; example applications and results from initial 3D MRI-TA have already been published [5].
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