Application of texture analysis to muscle MRI: 1-What kind of information should be expected from texture analysis?

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 tex...

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Bibliographic Details
Published in:EPJ nonlinear biomedical physics 2015-03, Vol.3 (1), p.1-14, Article 3
Main Authors: De Certaines, Jacques D, Larcher, Thibaut, Duda, Dorota, Azzabou, Noura, Eliat, Pierre-Antoine, Escudero, Luis M, Pinheiro, Antonio MG, Yang, Guanyu, Coatrieux, Jean-Louis, Snezkho, Eduard, Shukelovich, Alexey, Pereira, Manuela, Lerski, Richard A
Format: Article
Language:English
Subjects:
Bioengineering
Complex Systems
Engineering Sciences
Imaging
Life Sciences
Physics
Physics and Astronomy
Review
Signal and Image processing
Systems Biology
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Summary: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.
ISSN:2195-0008
2195-0008
DOI:10.1140/epjnbp/s40366-015-0017-1