Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
465-06-007 ISMRM Abstract

Eddy current pre‐compensation gradients design for diffusion preparation

Accepted
Kevin Moulin 1, Limin Zhou2, Sandra Haltmeier3,4,5, Guillaume Gilbert6, Jessica A Martinez7,8, Sebastian Kozerke3,4,5,9,10,11, Andrew J Powell1,12
1Department of Cardiology, Boston Children's Hospital and Harvard Medical School, Boston, United States of America
2Philips North America Clinical Science, Rochester, United States of America
3Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
4Institute for Biomedical Engineering, University and ETH Zürich, Zürich, Switzerland
5Institute for Biomedical Engineering, University Zurich and ETH Zurich, Zurich, Switzerland
6Philips Healthcare, Mississauga, Canada
7National Institute of Standards and Technology, Boulder, United States of America
8University of Colorado Boulder, Boulder, United States of America
9University and ETH Zürich, Zürich, Switzerland
10Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland
11Institute for Biomedical Engineering, Zurich, Switzerland
12Department of Pediatrics, Harvard Medical School, Boston, United States of America
Presenting Author: Kevin Moulin

Synopsis

Motivation:
Goals:
Approach:
Results:
Full abstract & presentation

The full text, figures, and any recorded presentation for this abstract are not shown here. Log in if you are a member or registered attendee with access.

Full abstracts, figures, and presentations for Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition are available to registered attendees. This content becomes freely available to the public roughly two years after the meeting.

To request or purchase access, contact the ISMRM Central Office at info@ismrm.org.

Log in

References

1. Bammer R. Basic principles of diffusion-weighted imaging. European Journal of Radiology. 2003;45(3):169-184. https://doi.org/10.1016/S0720-048X(02)00303-0 [doi]
2. Jezzard P, Balaban RS. Correction for geometric distortion in echo planar images from B0 field variations. Magnetic Resonance in Medicine. 1995;34(1):65-73. https://doi.org/10.1002/mrm.1910340111 [doi]
3. Moulin, K., Cork, T., Troalen, T., Chow, K., Ennis, D., Croisille, P. and Viallon, M. (2025), Multi-Shot Diffusion Imaging Using Motion Compensation Diffusion Encoding Waveforms and EPI With Keyhole. NMR in Biomedicine, 38: e70022. https://doi.org/10.1002/nbm.70022 [doi]
4. Lee S-Y, Meyer BP, Kurpad SN, Budde MD. Diffusion-prepared fast spin echo for artifact-free spinal cord imaging. Magn Reson Med. 2021; 86: 984-994. https://doi.org/10.1002/mrm.28751 [doi]
5. M. M. Cheung and E. X. Wu, "Diffusion imaging with balanced steady state free precession," 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, USA, 2012, pp. 90-93, https://doi.org/10.1109/EMBC.2012.6345878 [doi]
6. Wang, J., Yarnykh, V.L. and Yuan, C. (2010), Enhanced image quality in black-blood MRI using the improved motion-sensitized driven-equilibrium (iMSDE) sequence. J. Magn. Reson. Imaging, 31: 1256-1263. https://doi.org/10.1002/jmri.22149 [doi]
7. Meakin JA, Jezzard P. An optimized velocity selective arterial spin labeling module with reduced eddy current sensitivity for improved perfusion quantification. Magn Reson Med. 2013 Mar 1;69(3):832-8. https://doi.org/10.1002/mrm.24302 [doi]
8. Guo, J., Meakin, J.A., Jezzard, P. and Wong, E.C. (2015), An optimized design to reduce eddy current sensitivity in velocity-selective arterial spin labeling using symmetric BIR-8 pulses. Magn. Reson. Med., 73: 1085-1094. https://doi.org/10.1002/mrm.25227 [doi]
9. Nguyen, C., Fan, Z., Xie, Y., Pang, J., Speier, P., Bi, X., Kobashigawa, J. and Li, D. (2016), In vivo diffusion-tensor MRI of the human heart on a 3 tesla clinical scanner: An optimized second order (M2) motion compensated diffusion-preparation approach. Magn. Reson. Med., 76: 1354-1363. https://doi.org/10.1002/mrm.26380 [doi]
10. Obara, M., Kuroda, K., Wang, J., Honda, M., Yoneyama, M., Imai, Y. and Van Cauteren, M. (2014), Comparison between two types of improved motion-sensitized driven-equilibrium (iMSDE) for intracranial black-blood imaging at 3.0 tesla. J. Magn. Reson. Imaging, 40: 824-831. https://doi.org/10.1002/jmri.24430 [doi]
11. Aliotta, E., Moulin, K. and Ennis, D.B. (2018), Eddy current–nulled convex optimized diffusion encoding (EN-CODE) for distortion-free diffusion tensor imaging with short echo times. Magn. Reson. Med, 79: 663-672. https://doi.org/10.1002/mrm.26709 [doi]
12. Middione MJ, Loecher M, Cao X, Setsompop K, Ennis DB. Pre-excitation gradients for eddy current nulled convex optimized diffusion encoding (Pre-ENCODE). Magn Reson Med. 2024; 92: 573-585. https://doi.org/10.1002/mrm.30068 [doi]
13. Antoniou A, Georgiou L, Christodoulou T, Panayiotou N, Ioannides C, Zamboglou N, Damianou C. MR relaxation times of agar-based tissue-mimicking phantoms. J Appl Clin Med Phys. 2022 May;23(5):e13533. https://doi.org/10.1002/acm2.13533 [doi]
14. Gao, Y., Zhou, Z., Han, F., Zhong, X., Yang, Y. and Hu, P. (2020), 3D isotropic resolution diffusion-prepared magnitude-stabilized bSSFP imaging with high geometric fidelity at 1.5 Tesla. Med. Phys., 47: 3511-3519. https://doi.org/10.1002/mp.14195 [doi]

Cite this abstract