Assessment and correction of macroscopic field variations in 2D spoiled gradient‐echo sequences. Issue 2 (23rd December 2019)

• Record Type: Journal Article
• Authors: Soellradl, Martin; Lesch, Andreas; Strasser, Johannes; Pirpamer, Lukas; Stollberger, Rudolf; Ropele, Stefan; Langkammer, Christian
• Is Part Of: Magnetic resonance in medicine. Volume 84:Issue 2(2020)
• Page Start: 620
• Page End: 633
• Publication Date: 2019-12-23
• Subjects: field inhomogeneities -- myelin water fraction -- R2∗ -- relaxometry -- slice profile -- T2∗; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.28139
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: To model and correct the dephasing effects in the gradient‐echo signal for arbitrary RF excitation pulses with large flip angles in the presence of macroscopic field variations. Methods: The dephasing of the spoiled 2D gradient‐echo signal was modeled using a numerical solution of the Bloch equations to calculate the magnitude and phase of the transverse magnetization across the slice profile. Additionally, regional variations of the transmit RF field and slice profile scaling due to macroscopic field gradients were included. Simulations, phantom, and in vivo measurements at 3 T were conducted for R 2 ∗ and myelin water fraction (MWF) mapping. Results: The influence of macroscopic field gradients on R 2 ∗ and myelin water fraction estimation can be substantially reduced by applying the proposed model. Moreover, it was shown that the dephasing over time for flip angles of 60° or greater also depends on the polarity of the slice‐selection gradient because of phase variation along the slice profile. Conclusion: Substantial improvements in R 2 ∗ accuracy and myelin water fraction mapping coverage can be achieved using the proposed model if higher flip angles are required. In this context, we demonstrated that the phase along the slice profile and the polarity of the slice‐selection gradient are essential for proper modeling of the gradient‐echo signal in the presence of macroscopic field variations.