Abstract
Purpose: This study aims to estimate PD, T1, T2, T2*, and ΔB0 simultaneously using magnetic resonance fingerprinting (MRF) with compensation of the linearly varying background field. Methods: MRF based on fast imaging with steady-state precession (FISP) and multi-echo spoiled gradient (SPGR) schemes are alternatively used, which encode T2 and T2*, respectively. Simulations are performed to determine the appropriate ratio of the FISP and SPGR sections with respect to the T2 and T2* accuracy. Additionally, background field inhomogeneity (Gz) compensation using z-shim gradients are incorporated into the SPGR section and the dictionary. The background field compensation is tested in the phantom experiment under well-shimmed and poor-shimmed conditions. An in vivo experiment is performed and the estimated parameters are compared before and after Gz compensation. Results: The T1, T2, and T2* values from the phantom results are in good agreement with the reference methods under well-shimmed condition. The underestimated T2 and T2* values under poor-shimmed condition are recovered by Gz compensation and the parameters are also in good agreement with the reference methods. In the human brain, T2 and T2* values are restored by Gz compensation in regions where the magnetic field is particularly inhomogeneous, such as near the sinus and ear canals. Conclusions: The proposed FISP and SPGR combined MRF provides a simultaneous estimation of PD, T1, T2, T2*, and ΔB0. By incorporating field inhomogeneity as a gradient term into both the sequence and dictionary, T2 and T2* values can be restored where field inhomogeneity exists.
Original language | English |
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Pages (from-to) | 2614-2623 |
Number of pages | 10 |
Journal | Magnetic Resonance in Medicine |
Volume | 81 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2019 Apr |
Bibliographical note
Funding Information:This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF‐2016R1A2B3016273).
Funding Information:
National Research Foundation, Grant/ Award Number: NRF-2016R1A2B3016273; Ministry of Science, ICT and Future Planning
Publisher Copyright:
© 2018 International Society for Magnetic Resonance in Medicine
All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging