关键词：PC-MRI GIRF 磁场检测 采集策略优化
ISMRM 2025 Abstract #1282
Benchmarking gradient impulse response function (GIRF) acquisition strategies with open-source measurement software
Authors
Michael Loecher1,2 and Daniel B Ennis1,2
1Radiology, Stanford University, Stanford, CA, United States,
2Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States
We developed an open-source package (github.com/mloecher/GIRFbench) to acquire, process, and benchmark GIRF measurement strategies to better standardize and understand these techniques. Estimated GIRFs reduced PC-MRI background velocity errors to ≤0.4% of VENC and corrected spiral trajectories to within ∆k=0.31 m-1.
Qualitative comparisons of GIRF corrections of a spiral SPGR dataset in (A-D) resolution phantom and (E-H) head of a volunteer.
Slightly improved data quality is seen with GIRF correction compared to simple gradient delay correction, with no discernable differences between the two GIRF corrections.
Differences are shown for (uncorrected-delay corrected), (delay corrected-GIRF corrected), and between the two GIRF corrections.
The last comparison was scaled by 5x to show the small differences.
a) shows an example of programmed waveforms, field camera measured waveforms, and two GIRF predictions for a trapezoid waveform and two spiral waveforms.
b) RMSE between GIRF prediction and measured waveforms shown in a), where the thin-slice phantom measurement performs slightly worse.
c) RMSE for GIRFs estimated with different test waveforms shows little difference.
d) results of filtering the field camera GIRF with a FWHM=8kHz gaussian, which caused much more error in the prediction.
Skope期待与您在磁共振成像前沿领域的更多可能中相遇，欢迎联系我们了解详细方案。
了解更多Skope产品
长按扫码关注我们
微信公众号｜Skope医疗科技
Skope磁共振技术成立于2011年，为磁共振成像（MRI）市场开发传感器技术和信号处理的解决方案。Skope的客户使用这些解决方案可达到MR成像前所未有的精确性和速度。Skope向全世界的患者提供先进的诊断成像。