Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network

Synthesis of MR fingerprinting information from magnitude-only MR imaging data using a parallelized, multi network U-Net convolutional neural network

BackgroundMR fingerprinting (MRF) is a novel method for quantitative assessment of in vivo MR relaxometry that has shown high precision and accuracy. However, the method requires data acquisition using customized, complex acquisition strategies and dedicated post processing methods thereby limiting...

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Bibliographic Details
Main Authors: Kiaran P. McGee, Yi Sui, Robert J. Witte, Ananya Panda, Norbert G. Campeau, Thomaz R. Mostardeiro, Nahil Sobh, Umberto Ravaioli, Shuyue (Lucia) Zhang, Kianoush Falahkheirkhah, Nicholas B. Larson, Christopher G. Schwarz, Jeffrey L. Gunter
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Radiology
Subjects:
U-Net
convolutional neural network
magnetic resonance fingerprinting
MPRAGE
relaxometry
Online Access:https://www.frontiersin.org/articles/10.3389/fradi.2024.1498411/full

Internet

https://www.frontiersin.org/articles/10.3389/fradi.2024.1498411/full

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