Improving measurement of blood-brain barrier permeability with reduced scan time using deep-learning-derived capillary input function

PURPOSE: In Dynamic contrast-enhanced MRI (DCE-MRI), Arterial Input Function (AIF) has been shown to be a significant contributor to uncertainty in the estimation of kinetic parameters. This study is to assess the feasibility of using a deep learning network to estimate local Capillary Input Functio...

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Detalles Bibliográficos
Autores principales: Bae, Jonghyun, Li, Chenyang, Masurkar, Arjun, Ge, Yulin, Kim, Sungheon Gene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475161/
https://www.ncbi.nlm.nih.gov/pubmed/37507078
http://dx.doi.org/10.1016/j.neuroimage.2023.120284

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475161/
https://www.ncbi.nlm.nih.gov/pubmed/37507078
http://dx.doi.org/10.1016/j.neuroimage.2023.120284

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