An end‐to‐end AI‐based framework for automated discovery of rapid CEST/MT MRI acquisition protocols and molecular parameter quantification (AutoCEST)

PURPOSE: To develop an automated machine‐learning‐based method for the discovery of rapid and quantitative chemical exchange saturation transfer (CEST) MR fingerprinting acquisition and reconstruction protocols. METHODS: An MR physics‐governed AI system was trained to generate optimized acquisition...

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Detalles Bibliográficos
Autores principales: Perlman, Or, Zhu, Bo, Zaiss, Moritz, Rosen, Matthew S., Farrar, Christian T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles—Imaging Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9305180/
https://www.ncbi.nlm.nih.gov/pubmed/35092076
http://dx.doi.org/10.1002/mrm.29173

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9305180/
https://www.ncbi.nlm.nih.gov/pubmed/35092076
http://dx.doi.org/10.1002/mrm.29173

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