Improved multi-echo gradient echo myelin water fraction mapping using complex-valued neural network analysis

Soozy Jung, Ji Su Yun, Deog Young Kim, Dong Hyun Kim

Research output: Contribution to journalComment/debatepeer-review

Abstract

Purpose: Previously, an artificial neural network method was introduced to estimate quantitative myelin water fraction (MWF) using multi-echo gradient-echo data. However, the fiber orientation of white matter with respect to B0 could bias the quantification of MWF. Here, we developed an advanced workflow for MWF estimation that could improve the quantification of MWF. Methods: To adopt fiber orientation effects, a complex-valued neural network with complex-valued operation was used. In addition, to compensate for the bias from different scan parameters, a signal model incorporating the T1 value was devised for training data generation. At the testing stage, a voxel-spread function approach was utilized for spatial B0 artifact correction. Finally, dropout-based variational inference was implemented for uncertainty estimates on the network model to provide a confidence interpretation of the output. Results: According to simulation and in vivo analysis, the proposed method suggests improved quality of MWF estimation by correcting the bias and artifacts. The proposed complex-valued neural network approach can alleviate the dependency of fiber orientation effects compared to previous artificial neural network method. Uncertainty estimates provides information different from fitting error that can be used as a confidence level of the resulting MWF values. Conclusion: An improved MWF mapping using complex-valued neural network analysis has been proposed.

Original languageEnglish
Pages (from-to)492-500
Number of pages9
JournalMagnetic Resonance in Medicine
Volume88
Issue number1
DOIs
Publication statusAccepted/In press - 2022

Bibliographical note

Funding Information:
ITRC (Information Technology Research Center) support program supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) (IITP‐2020‐2020‐0‐01461) Korea Medical Device Development Fund grant funded by the Korea government (Ministry of Science and ICT, Ministry of Trade, Industry and Energy, Ministry of Health & Welfare, Ministry of Food and Drug Safety) KMDF_PR_20200901_0062, 9991006735. Rehabilitation Research & Development Support Program, National Rehabilitation Center, Ministry of Health & Welfare, Korea. NRC RSP‐EX20008.

Funding Information:
ITRC (Information Technology Research Center) support program supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), IITP‐2020‐2020‐0‐01461; Korea Medical Device Development Fund grant funded by the Korea government (Ministry of Science and ICT, Ministry of Trade, Industry and Energy, Ministry of Health & Welfare, Ministry of Food and Drug Safety), KMDF_PR_20200901_0062, 9991006735; Rehabilitation Research & Development Support Program, National Rehabilitation Center, Ministry of Health & Welfare, Korea, NRC RSP‐EX20008 Funding information

Funding Information:
information ITRC (Information Technology Research Center) support program supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation), IITP-2020-2020-0-01461; Korea Medical Device Development Fund grant funded by the Korea government (Ministry of Science and ICT, Ministry of Trade, Industry and Energy, Ministry of Health & Welfare, Ministry of Food and Drug Safety), KMDF_PR_20200901_0062, 9991006735; Rehabilitation Research & Development Support Program, National Rehabilitation Center, Ministry of Health & Welfare, Korea, NRC RSP-EX20008ITRC (Information Technology Research Center) support program supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation) (IITP-2020-2020-0-01461) Korea Medical Device Development Fund grant funded by the Korea government (Ministry of Science and ICT, Ministry of Trade, Industry and Energy, Ministry of Health & Welfare, Ministry of Food and Drug Safety) KMDF_PR_20200901_0062, 9991006735. Rehabilitation Research & Development Support Program, National Rehabilitation Center, Ministry of Health & Welfare, Korea. NRC RSP-EX20008.

Publisher Copyright:
© 2022 International Society for Magnetic Resonance in Medicine.

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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