Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
430-02-007 ISMRM Abstract

An open-source workflow for MRI data acquisition and reconstruction using Pulseq: multi-site and cross-vendor validation

Primary: Acquisition & Reconstruction - Open source software, sequences, and reconstruction algorithms
Secondary: Acquisition & Reconstruction - Pulse Sequence Design and Spatial Encoding Methods
430-02-007 · Novel Acquisition Strategies and Open-Source Sequences · Tuesday, 12 May, 8:20 AM–10:10 AM · Meeting Room 2.60
Keywords: Open-source software Reproducibility Sequence development Pulseq Cross-vendor MRI
Accepted
Qingping Chen 1, Thomas Roos2, Amaya Murguia3, ADEPT UMR4, Yuhai Xie4, Pengcheng Xu5,6,7, Shohei Fujita5,6,8,9, Sebastian Littin1, Yogesh Rathi10, Jiayu Zhu4, Berkin Bilgic5,6,11, Jon-Fredrik Nielsen12,13, Maxim Zaitsev1
1University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
2Department of Radiology and Oncology, Center for Image Sciences, University Medical Center Utrecht, Utrecht, Netherlands
3Department of Electrical and Computer Engineering, University of Michigan, Ann Arbor, United States of America
4Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China
5Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America
6Department of Radiology, Harvard Medical School, Boston, United States of America
7State Key Laboratory of Extreme Optics and Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, China
8Department of Radiology, Juntendo University, Tokyo, Japan
9Department of Radiology, The University of Tokyo, Tokyo, Japan
10Brigham and Women’s Hospital, Brigham and Women's Hospital and Harvard Medical School, Boston, United States of America
11Harvard-MIT Health Sciences and Technology, Cambridge, United States of America
12Department of Biomedical Engineering, University of Michigan, Ann Arbor, United States of America
13Functional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, United States of America
Presenting Author: Qingping Chen

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References

1. Antunes B, Hill DRC. Reproducibility, replicability and repeatability: A survey of reproducible research with a focus on high performance computing. Comput Sci Rev. 2024;53(June):100655. doi:10.1016/j.cosrev.2024.100655 [doi]
2. Tamir JI, Blumenthal M, Wang J, Oved T, Shimron E, Zaiss M. MRI acquisition and reconstruction cookbook: recipes for reproducibility, served with real-world flavour. Magn Reson Mater Physics, Biol Med. 2025;38(3):367–385. doi:10.1007/s10334-025-01236-4 [doi]
3. Layton KJ, Kroboth S, Jia F, et al. Pulseq: a rapid and hardware-independent pulse sequence prototyping framework. Magn Reson Med. 2017;77(4):1544-1552. doi:10.1002/mrm.26235 [doi]
4. Hansen MS, Sørensen TS. Gadgetron: an open source framework for medical image reconstruction. Magn Reson Med. 2013;69:1768-1776. doi:10.1002/mrm.24389 [doi]
5. Inati SJ, Naegele JD, Zwart NR, et al. ISMRM raw data format: A proposed standard for MRI raw datasets. Magn Reson Med. 2017;77(1):411-421. doi:10.1002/mrm.26089 [doi]
6. Chen Q. 2023 ISMRM virtual meeting: Vendor-agnostic pulse sequence programming with Pulseq: from basics to advanced topics | Tutorial on image reconstruction based on Pulseq. Accessed September 17, 2025. https://github.com/pulseq/ISMRM-Virtual-Meeting--November-15-17-2023/tree/main/tutorials/day2_imageReconstruction
7. Chen Q, Zijlstra F, Hucker P, Littin S, Zaitsev M. Open-source, cross-platform workflow for MRI data acquisition and image reconstruction based on the Pulseq framework. In: Proceedings of the 33rd International Society for Magnetic Resonance in Medicine (ISMRM). ; 2024:0948.
8. Chen Q, Hucker P, Shafiekhani M, Zaitsev M. Open-source, Flexible, and Reproducible Workflow for Data Acquisition, Reconstruction, and Post-processing Based on Pulseq and Open Recon. In: Proceedings of the 34th International Society for Magnetic Resonance in Medicine (ISMRM). ; 2025. doi:10.58530/2025/1844 [doi]
9. PulseqRocks. https://github.com/pulseq/Pulseq-Rocks-2023-24-ISMRM-Reproducibility-Challenge. Accessed October 26, 2025.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/430-02-007