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

  • De Certaines J
  • Larcher T
  • Duda D
  • et al.
N/ACitations
Citations of this article
46Readers
Mendeley users who have this article in their library.

Abstract

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

Cite

CITATION STYLE

APA

De Certaines, J. D., Larcher, T., Duda, D., Azzabou, N., Eliat, P.-A., Escudero, L. M., … Lerski, R. A. (2015). Application of texture analysis to muscle MRI: 1-What kind of information should be expected from texture analysis? EPJ Nonlinear Biomedical Physics, 3(1). https://doi.org/10.1140/epjnbp/s40366-015-0017-1

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free