Scholten Hannah, Lohr David, Wech Tobias, Köstler Herbert
Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
Chair of Molecular and Cellular Imaging, Comprehensive Heart Failure Center (CHFC), University Hospital Würzburg, Würzburg, Germany.
Magn Reson Med. 2023 Apr;89(4):1644-1659. doi: 10.1002/mrm.29523. Epub 2022 Dec 5.
In this work, a new method to determine the gradient system transfer function (GSTF) with high frequency resolution and high SNR is presented, using fast and simple phantom measurements. The GSTF is an effective instrument for hardware characterization and calibration, which can be used to correct for gradient distortions, or enhance gradient fidelity.
The thin-slice approach for phantom-based measurements of the GSTF is expanded by adding excitations that are shifted after the application of the probing gradient, to capture long-lasting field fluctuations with high SNR. A physics-informed regularization procedure is implemented to derive high-quality transfer functions from a small number of measurements. The resulting GSTFs are evaluated by means of gradient time-course estimation and pre-emphasis of a trapezoidal test gradient on a 7T scanner.
The GSTFs determined with the proposed method capture sharp mechanical resonances with a high level of detail. The measured trapezoidal gradient progressions are authentically reproduced by the GSTF estimations on all three axes. The GSTF-based pre-emphasis considerably improves the gradient fidelity in the plateau phase of the test gradient and almost completely eliminates lingering field oscillations.
The presented approach allows fast and simple characterization of gradient field fluctuations caused by long-living eddy current and vibration effects, which become more pronounced at ultrahigh field strengths.
在本研究中,提出了一种利用快速简单的体模测量来确定具有高频率分辨率和高信噪比的梯度系统传递函数(GSTF)的新方法。GSTF是用于硬件表征和校准的有效工具,可用于校正梯度失真或提高梯度保真度。
通过在施加探测梯度后添加偏移的激励来扩展基于体模测量GSTF的薄片方法,以高信噪比捕获持久的场波动。实施基于物理的正则化程序,从少量测量中得出高质量的传递函数。通过梯度时间历程估计和在7T扫描仪上对梯形测试梯度进行预加重来评估所得的GSTF。
用所提出的方法确定的GSTF能够以高度的细节捕获尖锐的机械共振。在所有三个轴上,GSTF估计都能真实地再现测量的梯形梯度变化。基于GSTF的预加重显著提高了测试梯度平台期的梯度保真度,并几乎完全消除了残留的场振荡。
所提出的方法允许快速简单地表征由长寿命涡流和振动效应引起的梯度场波动,这些波动在超高场强下变得更加明显。