Synopsis
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567-03-013
ISMRM Abstract
Open-source Pulseq Sequences with United Imaging MRI Systems
Accepted
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1. Layton K J, Kroboth S, Jia F, et al. Pulseq: a rapid and hardware‐independent pulse sequence prototyping framework[J]. Magnetic resonance in medicine, 2017, 77(4): 1544-1552. PMID: 27271292, DOI: 10.1002/mrm.26235 [doi] [pmid]
2. Ravi K S, Geethanath S, Vaughan J T. PyPulseq: A python package for mri pulse sequence design[J]. Journal of Open Source Software, 2019, 4(42): 1725. https://doi.org/10.21105/joss.01725 [doi]
3. Nielsen J F, Wang K, Schulte R F, et al. An accurate interpreter of Pulseq files for GE scanners[C]//Proc. Intl. Soc. Mag. Res. Med. 2024.
4. Nielsen J F, Noll D C. TOPPE: A framework for rapid prototyping of MR pulse sequences[J]. Magnetic resonance in medicine, 2018, 79(6): 3128-3134. https://doi.org/10.1002/mrm.26990 [doi]
5. Roos T, Versteeg E, Gosselink M, et al. Pulseq on Philips MRI systems: unlocking and validating open-source sequences[C]//Proc Int Soc Magn Reson Med. 2024, 32: 3251.
6. Shaik I A, Liu Q, Robison R, et al. Arbitrary pulse sequence execution with Pulseq on Philips MRI scanners[C]//Proc Int Soc Magn Reson Med. 2024, 32: 3234.
7. https://github.com/google/flatbuffers
8. Koparkar C. Efficient Data Representation Using FlatBuffers[J]. XRDS: Crossroads, The ACM Magazine for Students, 2023, 29(2): 50-51.
9. Lustig M, Kim S J, Pauly J M. A fast method for designing time-optimal gradient waveforms for arbitrary k-space trajectories[J]. IEEE transactions on medical imaging, 2008, 27(6): 866-873. PMID: 18541493. DOI: 10.1109/TMI.2008.922699. [doi] [pmid]
10. https://people.eecs.berkeley.edu/~mlustig/Software.html
11. https://github.com/SkopeMagneticResonanceTechnologies/Pulseq-Sequences
12. Inati S J, Naegele J D, Zwart N R, et al. ISMRM Raw data format: A proposed standard for MRI raw datasets[J]. Magnetic resonance in medicine, 2017, 77(1): 411-421, https://doi.org/10.1002/mrm.26089 [doi]
13. Chen Y, Jun Y, Heydari A, et al. MIMOSA: Multi‐Parametric Imaging Using Multiple‐Echoes With Optimized Simultaneous Acquisition for Highly‐Efficient Quantitative MRI[J]. Magnetic Resonance in Medicine, 2025. https://doi.org/10.1002/mrm.70143 [doi]
14. https://github.com/yutingchen11/MIMOSA
15. Fujita S, Gagoski B, Nielsen J F, et al. Vendor‐agnostic 3D multiparametric relaxometry improves cross‐platform reproducibility[J]. Magnetic resonance in medicine, 2025. https://doi.org/10.1002/mrm.30566 [doi]
16. https://github.com/shoheifujitaSF/Pulseq-qalas
17. Jun Y, Liu Q, Cho J, et al. PRIME: Phase Reversed Interleaved Multi-Echo acquisition enables highly accelerated distortion-free diffusion MRI[J]. International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2024.
18. Jun Y, Liu Q, Gong T, et al. Phase Reversed Interleaved Multi-Echo (PRIME) with phase, field map and motion navigators for highly accelerated distortion-free diffusion MRI[J]. International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2025.
19. https://github.com/yohan-jun/PRIME
Cite this abstract
http://echo.ismrm.org/p/ISMRM2026/567-03-013