Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
565-03-009 ISMRM Abstract

PNS Optimized Pulses of EPI (POPE): simple adjustment to gradient pulse shape for practical high-resolution fMRI

Accepted
Renzo Huber 1, Dominik Rattenbacher2, Rüdiger Stirnberg3, Kenny (Chung) Kan4, Alessandra Pizzuti5, Omer Faruk Gulban5,6, Florian Kroh7, Bastien Guerin1, Azma Mareyam1, Susie Huang1, Kyle Droppa1, Cole Analoro1, Chiara Mauri1, Berkin Bilgic8,9,10, Paul wighton1, Lawrence L Wald1
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, United States of America
2Siemens Healthineers AG, Erlangen, Germany
3German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
4National Institute of Mental Health (NIMH), Bethesda, United States of America
5Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands
6Brain innovation B.V., Maastricht, Netherlands
7Brigham and Women's Hospital and Harvard Medical School, Boston, United States of America
8Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America
9Radiology, Harvard Medical School, Boston, United States of America
10Harvard-MIT Health Sciences and Technology, Cambridge, United States of America
Presenting Author: Renzo Huber

Synopsis

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References

1. Hebrank, F.X., Gebhardt, M., 2000. SAFE-Model - A New Method for Predicting Peripheral Nerve Stimulations in MRI. ISMRM Denver, 2007. https://cds.ismrm.org/ismrm-2000/PDF7/2007.PDF
2. Hendriks, A. D., D’Agata, F., Raimondo, L., Schakel, T., Geerts, L., Luijten, P. R., Klomp, D. W. J., & Petridou, N. (2020). Pushing functional MRI spatial and temporal resolution further: High-density receive arrays combined with shot-selective 2D CAIPIRINHA for 3D echo-planar imaging at 7 T. NMR in Biomedicine, 33(5), 1–13. https://doi.org/10.1002/nbm.4281 [doi]
3. Huber, R., Koehler, M., Stirnberg, R., Evans, J., Knudsen, L., Tyler, A., Feinberg, D., Handwerker, D., Rubin, M., Akin, B., Swegle, S., Bandettini, P., 2025. Advanced Echo-planar Parallel Imaging with Gradient-harmonization (FRISGO): an optimization strategy for fast high-resolution fMRI, in: ISMRM. p. 1262. https://layerfmri.page.link/AEPIG
4. Koiso, K., Müller, A.K., Akamatsu, K., Dresbach, S., Gulban, O.F., Goebel, R., Miyawaki, Y., Poser, B.A., Huber, L., 2023. Acquisition and processing methods of whole-brain layer-fMRI VASO and BOLD: The Kenshu dataset. Aperture Neuro 34. https://doi.org/10.52294/001c.87961 [doi]
5. Loecher M, Middione MJ, Ennis DB. A gradient optimization toolbox for general purpose time-optimal MRI gradient waveform design. Magn Reson Med. 2020; 84: 3234–3245. https://doi.org/10.1002/mrm.28384 [doi]
6. Logothetis, N.K., 2008. What we can do and what we cannot do with fMRI. Nature 453, 869–878. https://doi.org/10.1038/nature06976 [doi]
7. Mareyam, A., Kirsch, Chang, Madan, Wald, 2020. A 64-Channel 7T array coil for accelerated brain MRI, in: ISMRM. p. 0764. https://cds.ismrm.org/protected/20MProceedings/PDFfiles/0764.html
8. Middione MJ, Loecher M, Moulin K, Ennis DB. Optimization methods for magnetic resonance imaging gradient waveform design. NMR in Biomedicine. 2020; 33:e4308. https://doi.org/10.1002/nbm.4308 [doi]
9. Schulte, R.F., Noeske, R., 2014. PNS-Optimal Gradient Waveform Design. ISMRM 4252. https://cds.ismrm.org/protected/14MProceedings/PDFfiles/4252.pdf?hl=en-US
10. Szczepankiewicz, F., 2018. Prediction of PNS in Siemens MRI systems (SAFE model). Github. https://github.com/filip-szczepankiewicz/safe_pns_prediction
11. Szczepankiewicz, F., 2021. Gradient waveform design for tensor-valued encoding in diffusion MRI. Journal of Neuroscience Methods. https://doi.org/10.1016/j.jneumeth.2020.109007 [doi]
12. Stirnberg, R., Stöcker, T., 2021. Segmented K-Space Blipped-Controlled Aliasing in Parallel Imaging (Skipped-CAIPI) for High Spatiotemporal Resolution Echo Planar Imaging. Magnetic Resonance in Medicine 85, 1540–1551. https://doi.org/10.1101/2020.06.08.140699 [doi]
13. Tan, E.T., Hua, Y., Fiveland, E.W., Vermilyea, M.E., Piel, J.E., Park, K.J., Ho, V.B., Foo, T.K.F., 2019. Peripheral nerve stimulation limits of a high amplitude and slew rate magnetic field gradient coil for neuroimaging. Magn Reson Med. https://doi.org/10.1002/mrm.27909 [doi]
14. Tekin, Ugurdag, Guérin. Optimiztion of Asymmetric EPI Waveforms with Reduced Peripheral Nerve Stimulation, 2026 ISMRM submitted.
15. Wighton, P., Hinds O., Frost R, Hoffmann M, Gagoski B, Varadarajan D, Proulx S, Reuter M, Polimeni JP, Fischl B, Ghosh S, van der Kouwe A., MR software tools for real-time decision making and FOV prescription, ISMRM, 2024 #4676. https://cds.ismrm.org/protected/24MProceedings/PDFfiles/4676_EYHb4cRdW.html
16. Zhang, B., McKinnon, G., Rutt, B.K., 2002. Peripheral-Nerve-Stimulation-Optimized Gradient Waveform Design. ISMRM. https://cds.ismrm.org/ismrm-2002/PDF3/0706.PDF

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