B1 inhomogeneity-corrected T1 mapping and quantitative magnetization transfer imaging via simultaneously estimating Bloch-Siegert shift and magnetization transfer effects

Purpose: To introduce a method of inducing Bloch-Siegert shift and magnetization Transfer Simultaneously (BTS) and demonstrate its utilization for measuring binary spin-bath model parameters free pool spin-lattice relaxation (T-1(F)), macromolecular fraction (f), magnetization exchange rate (kF) and local transmit field (B-1(+) ). Theory and Methods: Bloch-Siegert shift and magnetization transfer is simultaneously induced through the application of off-resonance irradiation in between excitation and acquisition of an RF-spoiled gradient-echo scheme. Applying the binary spin-bath model, an analytical signal equation is derived and verified through Bloch simulations. Monte Carlo simulations were performed to analyze the method's performance. The estimation of the binary spin-bath parameters with B+1 compensation was further investigated through experiments, both ex vivo and in vivo. Results: Comparing BTS with existing methods, simulations showed that existing methods can significantly bias T-1 estimation when not accounting for transmit B-1 heterogeneity and MT effects that are present. Phantom experiments further showed that the degree of this bias increases with increasing macromolecular proton fraction. Multi-parameter fit results from an in vivo brain study generated values in agreement with previous literature. Based on these studies, we confirmed that BTS is a robust method for estimating the binary spin-bath parameters in macromolecule-rich environments, even in the presence of B-1(+) inhomogeneity. Conclusion: A method of estimating Bloch-Siegert shift and magnetization transfer effect has been developed and validated. Both simulations and experiments confirmed that BTS can estimate spin-bath parameters (T-1(F), f, k(F)) that are free from B-1(+) bias.

Automated summary

A method of inducing Bloch-Siegert shift and magnetization transfer simultaneously is introduced, and its application in measuring binary spin-bath model parameters is demonstrated. The method is validated through simulations and experiments, showing that it can estimate spin-bath parameters free from B-1(+) bias.