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Artificial neural network for multi-echo gradient echo-based myelin water fraction estimation

Authors
 Soozy Jung  ;  Hongpyo Lee  ;  Kanghyun Ryu  ;  Jae Eun Song  ;  Mina Park  ;  Won-Jin Moon  ;  Dong-Hyun Kim 
Citation
 MAGNETIC RESONANCE IN MEDICINE, Vol.85(1) : 380-389, 2021-01 
Journal Title
MAGNETIC RESONANCE IN MEDICINE
ISSN
 0740-3194 
Issue Date
2021-01
Keywords
T 2 ∗ distribution ; artificial neural network ; multi-echo gradient echo ; myelin water imaging
Abstract
Purpose: To demonstrate robust myelin water fraction (MWF) mapping using an artificial neural network (ANN) with multi-echo gradient-echo (GRE) signal.

Methods: Multi-echo gradient-echo signals simulated with a three-pool exponential model were used to generate the training data set for the ANN, which was designed to yield the MWF. We investigated the performance of our proposed ANN for various conditions using both numerical simulations and in vivo data. Simulations were conducted with various SNRs to investigate the performance of the ANN. In vivo data with high spatial resolutions were applied in the analyses, and results were compared with MWFs derived by the nonlinear least-squares algorithm using a complex three-pool exponential model.

Results: The network results for the simulations show high accuracies against noise compared with nonlinear least-squares MWFs: RMS-error value of 5.46 for the nonlinear least-squares MWF and 3.56 for the ANN MWF at an SNR of 150 (relative gain = 34.80%). These effects were also found in the in vivo data, with reduced SDs in the region-of-interest analyses. These effects of the ANN demonstrate the feasibility of acquiring high-resolution myelin water images.

Conclusion: The simulation results and in vivo data suggest that the ANN facilitates more robust MWF mapping in multi-echo gradient-echo sequences compared with the conventional nonlinear least-squares method.
Full Text
https://onlinelibrary.wiley.com/doi/10.1002/mrm.28407
DOI
10.1002/mrm.28407
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Park, Mina(박미나) ORCID logo https://orcid.org/0000-0002-2005-7560
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/181974
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