Acceleration of Magnetic Resonance Fingerprinting Reconstruction Using Denoising and Self-Attention Pyramidal Convolutional Neural Network

Acceleration of Magnetic Resonance Fingerprinting Reconstruction Using Denoising and Self-Attention Pyramidal Convolutional Neural Network

Magnetic resonance fingerprinting (MRF) based on echo-planar imaging (EPI) enables whole-brain imaging to rapidly obtain T1 and T2* relaxation time maps. Reconstructing parametric maps from the MRF scanned baselines by the inner-product method is computationally expensive. We aimed to accelerate the...

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Bibliographic Details
Main Authors: Jia-Sheng Hong, Ingo Hermann, Frank Gerrit Zöllner, Lothar R. Schad, Shuu-Jiun Wang, Wei-Kai Lee, Yung-Lin Chen, Yu Chang, Yu-Te Wu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
magnetic resonance fingerprinting
echo-planar imaging
T1 and T2* relaxation times
denoising convolutional neural network
self-attention
feature pyramid network
Online Access:https://www.mdpi.com/1424-8220/22/3/1260

Internet

https://www.mdpi.com/1424-8220/22/3/1260

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