A dual modeling approach to automatic segmentation of cerebral T2 hyperintensities and T1 black holes in multiple sclerosis

BACKGROUND AND PURPOSE: Magnetic resonance imaging (MRI) is crucial for in vivo detection and characterization of white matter lesions (WML) in multiple sclerosis (MS). The most widely established MRI outcome measure is the volume of hyperintense lesions on T2-weighted images (T2L). Unfortunately, T...

Descripción completa

Detalles Bibliográficos
Autores principales: Valcarcel, Alessandra M., Linn, Kristin A., Khalid, Fariha, Vandekar, Simon N., Tauhid, Shahamat, Satterthwaite, Theodore D., Muschelli, John, Martin, Melissa Lynne, Bakshi, Rohit, Shinohara, Russell T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224321/
https://www.ncbi.nlm.nih.gov/pubmed/30391859
http://dx.doi.org/10.1016/j.nicl.2018.10.013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6224321/
https://www.ncbi.nlm.nih.gov/pubmed/30391859
http://dx.doi.org/10.1016/j.nicl.2018.10.013

Ejemplares similares