EPJ Nonlinear Biomed Phys
Volume 3, Number 1, December 2015
|Number of page(s)||20|
|Published online||19 March 2015|
Application of texture analysis to muscle MRI: 2 – technical recommendations
Medical Research Institute, Ninewells Hospital, Dundee, Scotland, UK
2 Institute of Myology, University Hospital Pitié-Salpêtrière, Paris, France
3 Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland
4 Nalecz Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences, Warsaw, Poland
5 Laboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China
6 Centre de Recherche en Information Biomédicale Sino-français (CRIBs), Nanjing, China
7 INSERM, U1099, Rennes, F-35000, France
8 Université de Rennes 1, LTSI, Rennes, F-35042, France
9 Centre de Recherche en Information Biomédicale Sino-français (CRIBs), Rennes, F-35000, France
10 PRISM-Bio-SCANs, University of Rennes, Rennes, France
* e-mail: email@example.com
Accepted: 26 February 2015
Published online: 19 March 2015
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.
Key words: Skeletal muscle / MRI / Texture analysis / Muscle dystrophy / GRMD
© The Author(s), 2015
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.