Rodrigues, RafaelGómez-García de La Banda, MartaTordjman, MickaelGómez-Andrés, DavidQuijano-Roy, SusanaCarlier, Robert-YvesPinheiro, Antonio M. G.2021-03-292021-03-292021-05-25978-1-6654-1246-9http://hdl.handle.net/10400.6/11126Muscle texture analysis in Magnetic Resonance Imaging (MRI) has revealed a good correlation with typical histological changes resulting from neuromuscular disorders. In this research, we assess the effectiveness of several features in describing intramuscular texture alterations in cases of Collagen VI-related myopathy. A T1-weighted Turbo Spin-Echo MRI dataset was used (N_subj = 26), consisting of thigh scans from subjects diagnosed with Ullrich Congenital Muscular Dystrophy or Bethlem Myopathy, with different severity levels, as well as healthy subjects. A total of 355 texture features were studied, including attributes derived from the Gray-Level Co-occurrence Matrix, the Run-Length Matrix, Wavelet and Gabor filters. The extracted features were ranked using the Support Vector Machine Recursive Feature Elimination (SVM-RFE) algorithm with Correlation Bias Reduction, prior to cross-validated classification with a Gaussian kernel SVM.engMRITexture AnalysisComputer-aided diagnosisCOL6-related myopathySVM-RFEconference object10.1109/ISBI48211.2021.9433942