Only-Train-Once MR Fingerprinting for Magnetization Transfer Contrast Quantification

Magnetization transfer contrast magnetic resonance fingerprinting (MTC-MRF) is a novel quantitative imaging technique that simultaneously measures several tissue parameters of semisolid macromolecule and free bulk water. In this study, we propose an Only-Train-Once MR fingerprinting (OTOM) framework...

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Bibliographic Details
Published in:arXiv.org 2022-06
Main Authors: Kang, Beomgu, Hye-Young Heo, Park, HyunWook
Format: Article
Language:English
Subjects:
Fingerprinting
Imaging techniques
Magnetic resonance
Magnetization
Parameters
Recurrent neural networks
Schedules
Semisolids
Training
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Summary:Magnetization transfer contrast magnetic resonance fingerprinting (MTC-MRF) is a novel quantitative imaging technique that simultaneously measures several tissue parameters of semisolid macromolecule and free bulk water. In this study, we propose an Only-Train-Once MR fingerprinting (OTOM) framework that estimates the free bulk water and MTC tissue parameters from MR fingerprints regardless of MRF schedule, thereby avoiding time-consuming process such as generation of training dataset and network training according to each MRF schedule. A recurrent neural network is designed to cope with two types of variants of MRF schedules: 1) various lengths and 2) various patterns. Experiments on digital phantoms and in vivo data demonstrate that our approach can achieve accurate quantification for the water and MTC parameters with multiple MRF schedules. Moreover, the proposed method is in excellent agreement with the conventional deep learning and fitting methods. The flexible OTOM framework could be an efficient tissue quantification tool for various MRF protocols.
ISSN:2331-8422
DOI:10.48550/arxiv.2206.04383