Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
567-02-014 ISMRM Abstract

Single‑Shot Radial EPI with Parallel Imaging: towards Distortion‑Free fMRI and Per‑Repetition B0 Mapping

Primary: Acquisition & Reconstruction - Pulse Sequence Design and Spatial Encoding Methods
Secondary: Acquisition & Reconstruction - Open source software, sequences, and reconstruction algorithms
567-02-014 · Open-Source Software, Sequences, and Reconstruction Algorithms · Wednesday, 13 May, 9:15 AM–10:10 AM · Digital Posters Row H
Keywords: Pulse Sequence Design EPI Pulseq Non-Cartesian MRI
Accepted
Dario Bosch 1,2,3, Simon Weinmüller4, Felix Glang2,5
1MRI Core Facility, University of Tübingen, Tübingen, Germany
2Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
3Department for Biomedical Magnetic Resonance, University Hospital Tuebingen, Tuebingen, Germany
4Institute of Neuroradiology, Universitätsklinikum Erlangen, Erlangen, Germany
5Institute of Biomedical Imaging, Graz University of Technology, Graz, Austria
Presenting Author: Dario Bosch

Synopsis

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References

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2. G. E. Sarty, “Single TrAjectory Radial (STAR) imaging,” Magnetic Resonance in Medicine, vol. 51, no. 3, pp. 445–451, Feb. 2004, doi: 10.1002/mrm.20001. [doi]
3. K. Ravi, S. Geethanath, and J. Vaughan, “PyPulseq: A Python Package for MRI Pulse Sequence Design,” Journal of Open Source Software, vol. 4, no. 42, p. 1725, Oct. 2019, doi: 10.21105/joss.01725. [doi]
4. K. J. Layton et al., “Pulseq: A rapid and hardware-independent pulse sequence prototyping framework,” Magnetic Resonance in Medicine, vol. 77, no. 4, pp. 1544–1552, Jun. 2016, doi: 10.1002/mrm.26235. [doi]
5. A. Loktyushin et al., “MRzero ‐ Automated discovery of MRI sequences using supervised learning,” Magnetic Resonance in Medicine, vol. 86, no. 2, pp. 709–724, Mar. 2021, doi: 10.1002/mrm.28727. [doi]
6. J. Endres et al., “Direct Encoded Signal Control with Phase Distribution Graphs for readout-tailored multipulse {pTx} optimization,” Submitted to Magnetic Resonance Materials in Physics, Biology and Medicine, {ESMRMB} 2024 40th Annual Scientific Meeting 2–5 October 2024, vol. Magn Reson Mater Phy 37 (Suppl 1), pp. 48–50, 2024.
7. Uecker, M., Ong, F., Tamir, J. I., Bahri, D., Virtue, P., Cheng, J. Y., ... & Lustig, M. (2015, May). Berkeley advanced reconstruction toolbox. In Proc. Intl. Soc. Mag. Reson. Med (Vol. 23, No. 2486, p. 9).
8. Uecker, M., Hohage, T., Block, K. T., & Frahm, J. (2008). Image reconstruction by regularized nonlinear inversion--joint estimation of coil sensitivities and image content. Magnetic resonance in medicine, 60(3), 674–682. https://doi.org/10.1002/mrm.21691 [doi]
9. Tan, Z., & Uecker, M. (2022). Radial Echo-Planar Imaging with Subspace Reconstruction for Brain MRI. In Proc Intl Soc Mag Reson Med (Vol. 30, p. 2022).
10. Wang, F., Dong, Z., Reese, T. G., Bilgic, B., Katherine Manhard, M., Chen, J., ... & Setsompop, K. (2019). Echo planar time‐resolved imaging (EPTI). Magnetic resonance in medicine, 81(6), 3599-3615.

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http://echo.ismrm.org/p/ISMRM2026/567-02-014