Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
567-03-007 ISMRM Abstract

dsv2pulseq: Convert Siemens sequence simulation files to Pulseq

Primary: Acquisition & Reconstruction - Open source software, sequences, and reconstruction algorithms
Secondary: Acquisition & Reconstruction
567-03-007 · Standardizing MRI Through Data Formats and Phantoms · Wednesday, 13 May, 1:40 PM–2:35 PM · Digital Posters Row H
Keywords: Pulse Sequence Design Open-source software Open MRI
Accepted
Marten Veldmann 1, Qingping Chen2, Maxim Zaitsev2, Tony Stoecker1,3
1MR Physics, German Center for Neurodegenerative Diseases (DZNE e.V.), Bonn, Germany
2Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
3Department of Physics and Astronomy, University of Bonn, Bonn, Germany
Presenting Author: Marten Veldmann

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References

1. Layton, K. J. et. al. Pulseq: A rapid and hardware‐independent pulse sequence prototyping framework. Magn. Reson. Med., 2017;77(4):1544-1552. https://doi.org/10.1002/mrm.26235 [doi]
2. Endres J. et al. Phase distribution graphs for fast, differentiable, and spatially encoded Bloch simulations of arbitrary MRI sequences. Magn Reson Med. 2024; 92(3): 1189-1204. https://doi.org/10.1002/mrm.30055 [doi]
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8. Ravi, K. et al PyPulseq: A Python Package for MRI Pulse Sequence Design. J. Open Source Softw. 2019;4(42):1725. doi: 10.21105/joss.01725 [doi]
9. https://github.com/pehses/twixtools
10. BART Toolbox for Computational Magnetic Resonance Imaging, DOI: 10.5281/zenodo.592960 [doi]
11. Langkammer C. et al. Fast quantitative susceptibility mapping using 3D EPI and total generalized variation. NeuroImage 111, 622-630 (2015). https://doi.org/10.1016/j.neuroimage.2015.02.041 [doi]
12. Dymerska B, et al. Phase unwrapping with a rapid opensource minimum spanning tree algorithm. Magn Reson Med. 2021; 85: 2294–2308. https://doi.org/10.1002/mrm.28563 [doi]
13. Stewart SW, et al. QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping. Magn Reson Med. 2022; 87: 1289–1300. doi:10.1002/mrm.29048 [doi]

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http://echo.ismrm.org/p/ISMRM2026/567-03-007