Optimization of Pulsed Saturation Transfer MR Fingerprinting (ST MRF) Acquisition Using the Cramér-Rao Bound and Sequential Quadratic Programming

利用克拉默-拉奥界和序列二次规划优化脉冲饱和转移磁共振指纹图谱(ST MRF)采集

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Abstract

PURPOSE: To develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition. METHODS: The Cramér-Rao bound (CRB) for variance assessment was employed on Bloch-McConnell-based simulated signals, followed by a numerical sequential quadratic programming optimization and basin-hopping avoidance of local minima. Validation was performed using L-arginine phantoms and healthy human volunteers at 3T while restricting the scan time to be less than 40 s. RESULTS: The proposed optimization approach resulted in a significantly improved agreement with reference standard values in vivo, compared to baseline non-optimized protocols (8% lower NRMSE, 7% higher SSIM, and 15% higher Pearson's r value, p < 0.001 ). CONCLUSION: The combination of the CRB with sequential quadratic programming and a rapid Bloch-McConnell simulator offers a means for optimizing and accelerating pulsed CEST and semisolid magnetization transfer (MT) MRF acquisition.

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