Development and validation of a new MRI simulation technique that can reliably estimate optimal in vivo scanning parameters in a glioblastoma murine model

BACKGROUND: Magnetic Resonance Imaging (MRI) relies on optimal scanning parameters to achieve maximal signal-to-noise ratio (SNR) and high contrast-to-noise ratio (CNR) between tissues resulting in high quality images. The optimization of such parameters is often laborious, time consuming, and user-...

Descripción completa

Detalles Bibliográficos
Autores principales: Protti, Andrea, Jones, Kristen L., Bonal, Dennis M., Qin, Lei, Politi, Letterio S., Kravets, Sasha, Nguyen, Quang-Dé, Van den Abbeele, Annick D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056046/
https://www.ncbi.nlm.nih.gov/pubmed/30036367
http://dx.doi.org/10.1371/journal.pone.0200611

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056046/
https://www.ncbi.nlm.nih.gov/pubmed/30036367
http://dx.doi.org/10.1371/journal.pone.0200611

Ejemplares similares