552-03-013 / 552-03-013 ISMRM Abstract

Stim-CODE: PNS & CNS Constrained Optimized Diffusion Encoding for Cardiac DTI on 200 mT/m Whole-Body Gradients

Primary: Cardiovascular - Myocardium

Secondary: Diffusion - Diffusion Acquisition

552-03-013 · Diffusion Methodologies and Clinical Applications · Wednesday, 13 May, 4:00 PM–5:36 PM · Power Pitch Theatre 2

Keywords: Optimization Cardiac stimulation Gradient safety Cardiac diffusion MRI Peripheral Nerve Stimulation

Accepted

Ariel J Hannum ^1,2,3,4, Michael Loecher^1,2,3, Tyler E Cork^1,2,3,4, Daniel B Ennis^1,2,3,4

¹Department of Radiology, Stanford University, Stanford, United States of America

²Division of Radiology, Veterans Administration Health Care System, Palo Alto, United States of America

³Cardiovascular Institute, Stanford University, Stanford, United States of America

⁴Department of Bioengineering, Stanford University, Stanford, United States of America

Presenting Author: Ariel J Hannum

Synopsis

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References

1. Dall'Armellina E, Ennis DB, Axel L, et al. Cardiac diffusion-weighted and tensor imaging: A consensus statement from the special interest group of the Society for Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson. 2025;27(1):101109. doi:10.1016/j.jocmr.2024.101109 [doi]

2. von Knobelsdorff-Brenkenhoff F, Prothmann M, Dieringer MA, et al. Myocardial T1 and T2 mapping at 3 T: reference values, influencing factors and implications. J Cardiovasc Magn Reson. 2013;15(1):53. Published 2013 Jun 18. doi:10.1186/1532-429X-15-53 [doi]

3. Kara D, Liu Y, Chen S, Garrett T, Younis A, Sugawara M, Bolen MA, Bi X, Wazni O, Nakagawa H, Kwon D, Nguyen C. In vivo cardiac diffusion tensor imaging on an MR system featuring ultrahigh performance gradients with 200 mT/m maximum gradient strength. Magn Reson Med. 2025 Feb;93(2):673-688. doi: 10.1002/mrm.30308. PMID: 39313764 [doi] [pmid]

4. Loecher M, Middione MJ, Ennis DB. A gradient optimization toolbox for general purpose time-optimal MRI gradient waveform design. Magn Reson Med. 2020 Dec;84(6):3234-3245. doi: 10.1002/mrm.28384. PMID: 33463724 [doi] [pmid]

5. Szczepankiewicz F, Westin CF, Nilsson M. Gradient waveform design for tensor-valued encoding in diffusion MRI. J Neurosci Methods. 2021;348:109007. doi:10.1016/j.jneumeth.2020.109007 [doi]

6. SAFE-Model - A New Method for Predicting Peripheral Nerve Stimulations in MRI by F.X. Herbank and M. Gebhardt. Abstract No 2007. Proc. Intl. Soc. Mag. Res. Med. 8, 2000, Denver, Colorado, USA

7. Garyfallidis E, Brett M, Amirbekian B, Rokem A, van der Walt S, Descoteaux M, Nimmo-Smith I; Dipy Contributors. DIPY, a library for the analysis of diffusion MRI data. Front Neuroinform. 2014;8:8. https://doi.org/10.3389/fninf.2014.00008. [doi]

8. Cork TE, Hannum AJ, Loecher M, Perotti LE, Ennis DB. Evaluating the effect of post-processing steps when analyzing cardiac diffusion tensor data. In: Chabiniok R, Zou Q, Hussain T, Nguyen HH, Zaha VG, Gusseva M, eds. Functional Imaging and Modeling of the Heart. FIMH 2025. Lecture Notes in Computer Science, vol 15673. Cham: Springer; 2025. doi:10.1007/978-3-031-94562-5_13. [doi]

9. Lombaert H, Peyrat JM, Croisille P, et al. Human atlas of the cardiac fiber architecture: study on a healthy population. IEEE Transactions on Medical Imaging. 2012;31(7):1436–1447. doi:10.1109/TMI.2012.2192743 [doi]

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http://echo.ismrm.org/p/ISMRM2026/552-03-013