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

• Autor(a) principal: Certaines, Jacques De
• Data de Publicação: 2015
• Outros Autores: Larcher, Thibaut, Duda, Dorota, Azzabou, Noura, Eliat, Pierre-Antoine, Escudero, Luis M., Pinheiro, Antonio M. G., Yang, Guanyu, Coatrieux, Jean-Louis, Snezkho, Eduard, Shukelovich, Alexey, Pereira, Manuela, Lerski, Richard
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.6/9264
• topic: Texture analysis; MRI

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 gray 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.