Spiral imaging is fast and SNR-efficient, but is relatively sensitive to gradient system imperfections. Unfortunately, these imperfections are generally not known, and can furthermore be expected to vary across different scanner vendor platforms. This complicates multi-site, multi-vendor studies that can benefit from rapid spiral imaging, e.g., those involving fMRI. Here we demonstrate that it is in fact possible to characterize and directly compare spiral gradient performance across two major vendors (GE and Siemens), using the TOPPE and Pulseq frameworks for rapid pulse sequence prototyping. Our observations indicate that B0 eddy currents are substantial on both vendor platforms, and underscore the need for measuring and correcting for B0 effects in spiral imaging.
TOPPE [1,2] and Pulseq [3] are two recently-introduced frameworks for rapid pulse sequence prototyping on General Electric and Siemens scanners, respectively. Each of these frameworks defines its own vendor-independent file format that describes all details of an MR imaging experiment, and that is loaded (“interpreted”) and executed on the scanner by a universal binary driver. Importantly, TOPPE and Pulseq file formats can be converted from one to the other, which should make it possible to – for the first time – fully harmonize pulse sequences across vendors. This should have important implications for, e.g., multi-site and multi-vendor resting-state functional MRI (fMRI) studies. However, even if the pulse sequences can be harmonized there may still be system-related factors (e.g., gradient system performance) that can impact the quality of functional connectivity maps.
Here we leverage TOPPE and Pulseq to assess the quality of a spiral-in readout on two scanners at different institutions: a GE Discovery MR750 3T scanner and a Siemens 3T Prisma. Spiral-in readouts are well-suited for fast BOLD fMRI imaging but can produce blurring or other artifacts if gradient imperfections are not accounted for. Unfortunately, such imperfections are generally not known, and can furthermore vary depending on a vendor’s eddy current pre-compensation method. In this study, we perform “pencil-beam” measurements [4] to measure the spiral readout k-space trajectory as well as the temporally varying (but spatially invariant) B0 eddy currents on two different vendor platforms. To our knowledge, this is the first time that the gradient performance on scanners from different vendors is directly compared in this way.
[1] Nielsen JF, Noll DC. TOPPE: A framework for rapid prototyping of MR pulse sequences. Magn Reson Med 2018; 79(6):3128-3134.
[2] https://toppemri.github.io/
[3] Layton KJ, Kroboth S, Jia F, Littin S, Yu H, Leupold J, Nielsen JF, Stöcker T, Zaitsev M. Pulseq: A rapid and hardware-independent pulse sequence prototyping framework. Magn Reson Med 2017; 77:1544–1552.
[4] Duyn JH, Yang Y, Frank JA, van der Veen JW. Simple correction method for kāspace trajectory deviations in MRI. J Mag Res 1998;132:150–153.