Aghaeifar Ali, Bosch Dario, Heule Rahel, Williams Sydney, Ehses Philipp, Mauconduit Franck, Scheffler Klaus
High-Field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany.
Department of Biomedical Magnetic Resonance, University of Tuebingen, Tuebingen, Germany.
Magn Reson Med. 2024 Aug;92(2):645-659. doi: 10.1002/mrm.30078. Epub 2024 Mar 12.
The drift in radiofrequency (RF) power amplifiers (RFPAs) is assessed and several contributing factors are investigated. Two approaches for prospective correction of drift are proposed and their effectiveness is evaluated.
RFPA drift assessment encompasses both intra-pulse and inter-pulse drift analyses. Scan protocols with varying flip angle (FA), RF length, and pulse repetition time (TR) are used to gauge the influence of these parameters on drift. Directional couplers (DICOs) monitor the forward waveforms of the RFPA outputs. DICOs data is stored for evaluation, allowing calculation of correction factors to adjust RFPAs' transmit voltage. Two correction methods, predictive and run-time, are employed: predictive correction necessitates a calibration scan, while run-time correction calculates factors during the ongoing scan.
RFPA drift is indeed influenced by the RF duty-cycle, and in the cases examined with a maximum duty-cycle of 66%, the potential drift is approximately 41% or 15%, depending on the specific RFPA revision. Notably, in low transmit voltage scenarios, FA has minimal impact on RFPA drift. The application of predictive and run-time drift correction techniques effectively reduces the average drift from 10.0% to less than 1%, resulting in enhanced MR signal stability.
Utilizing DICO recordings and implementing a feedback mechanism enable the prospective correction of RFPA drift. Having a calibration scan, predictive correction can be utilized with fewer complexity; for enhanced performance, a run-time approach can be employed.
评估射频(RF)功率放大器(RFPA)中的漂移,并研究几个促成因素。提出了两种前瞻性校正漂移的方法,并评估了它们的有效性。
RFPA漂移评估包括脉冲内和脉冲间漂移分析。使用具有不同翻转角(FA)、RF长度和脉冲重复时间(TR)的扫描协议来衡量这些参数对漂移的影响。定向耦合器(DICO)监测RFPA输出的正向波形。存储DICO数据以供评估,从而能够计算校正因子以调整RFPA的发射电压。采用了两种校正方法,即预测性校正和运行时校正:预测性校正需要进行校准扫描,而运行时校正则在正在进行的扫描期间计算因子。
RFPA漂移确实受到RF占空比的影响,在最大占空比为66%的情况下,根据特定的RFPA版本,潜在漂移约为41%或15%。值得注意的是,在低发射电压情况下,FA对RFPA漂移的影响最小。应用预测性和运行时漂移校正技术可有效将平均漂移从10.0%降低至小于1%,从而提高了MR信号稳定性。
利用DICO记录并实施反馈机制能够对RFPA漂移进行前瞻性校正。通过校准扫描,预测性校正可以以较低的复杂度使用;为了提高性能,可以采用运行时方法。