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

Jacques D. de Certaines (1) , Thibaut Larcher (2) , Dorota Duda (3) , Noura Azzabou (1, 4) , Pierre-Antoine Eliat (5) , Luis M Escudero (6) , Antonio Mg Pinheiro (7) , Guanyu Yang (8) , Jean-Louis Coatrieux (9) , Eduard Snezkho (10) , Alexey Shukelovich (1) , Manuela Pereira (7) , Richard Lerski (11)

1 NMR Laboratory
2 PAnTher - Physiopathologie Animale et bioThérapie du muscle et du système nerveux
3 Faculty of Computer Science - University of Białystok
4 CEA - Commissariat à l'énergie atomique et aux énergies alternatives
5 PRISM-BioSCANs
6 Instituto de Biomedicina
7 UBI - University of Beira Interior [Portugal]
8 Southeast University [Jiangsu]
9 LTSI - Laboratoire Traitement du Signal et de l'Image
10 Laboratory of Mathematical Cybernetics
11 Ninewells hospital and medical school

Several previous clinical or preclinical studies using computerized texture analysis of MRImages have demonstrated much more clinical discrimination than visual image analysis bythe radiologist. In muscular dystrophy, a discriminating power has been already demonstratedwith various methods of texture analysis of magnetic resonance images (MRI-TA).Unfortunately, a scale gap exists between the spatial resolutions of histological and MRimages making a direct correlation impossible. Furthermore, the effect of the varioushistological modifications on the gray level of each pixel is complex and cannot be easilyanalyzed. Consequently, clinicians will not accept the use of MRI-TA in routine practice ifTA remains a “black box” without clinical correspondence at a tissue level. A goal thereforeof the multicenter European COST action MYO-MRI is to optimize MRI-TA methods inmuscular dystrophy and to elucidate the histological meaning of MRI textures.

Domaines: Sciences du Vivant [q-bio]

Jacques D. de Certaines, Thibaut Larcher, Dorota Duda, Noura Azzabou, Pierre-Antoine Eliat, et al.. Application of texture analysis to muscle MRI: 1- What kind of information should be expected from texture analysis?. European Physical Journal: Applied Physics, 2015, 3 (3), pp.3. ⟨10.1140/s40366-015-0017-1⟩. ⟨hal-01140159⟩