Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
362-01-014 ISMRM Abstract

Comparing qMRI Protocols for Neurosurgical Planning of Drug-Resistant Epilepsy Patients: A Multi-Site Traveling Heads Study

Primary: Neuro - Epilepsy
Secondary: Physics & Engineering - Multimodal
362-01-014 · Neuro Sequences, Applications, and Traveling Phantoms · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row C
Keywords: Quantitative MRI Multi-centre Sequence parameters optimization Temporal lobe epilepsy Effective Resolution
Accepted
Jan Malte Oeschger1,2, Laurin Mordhorst1,2, Nina Luethi 1,2, Francisco J Fritz1, Difei Wang3, Rüdiger Stirnberg3, David Leitão4, Philippa Bridgen4,5, Zihan Ning4, Shaihan Malik4, David Carmichael4, Tony Stoecker3,6, Karsten Tabelow7, Luke J Edwards8,9, Kerrin J Pine9, Nikolaus Weiskopf9,10,11, Martina Callaghan11,12, Markus Nilsson13, Filip Szczepankiewicz14, Arthur Chakwizira13, Ileana Jelescu15, Quentin Uhl15, Siawoosh Mohammadi1,2,9
1Department of Systems Neurosciences, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
2Institute of Neuroradiology, University of Luebeck, Luebeck, Germany
3MR Physics, Bonn, Germany
4Imaging Physics and Engingeering Research Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
5Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
6Department of Physics and Astronomy, University of Bonn, Bonn, Germany
7Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany
8Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands
9Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
10Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth System Sciences, Leipzig University, Leipzig, Germany
11Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
12Functional Imaging Laboratory, Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
13Department of Diagnostic Radiology, Lund, Sweden, Lund University, Lund, Sweden
14Department of Medical Radiation Physics, Lund, Sweden, Lund University, Lund, Sweden
15Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
Presenting Author: Nina Luethi

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References

1. A. Bernasconi et al., “Recommendations for the use of structural magnetic resonance imaging in the care of patients with epilepsy: A consensus report from the International League Against Epilepsy Neuroimaging Task Force,” Epilepsia, vol. 60, no. 6, pp. 1054–1068, Jun. 2019, doi: 10.1111/epi.15612. [doi]
2. D. Wang, P. Ehses, T. Stöcker, and R. Stirnberg, “Reproducibility of rapid multi-parameter mapping at 3T and 7T with highly segmented and accelerated 3D-EPI,” Magn. Reson. Med., vol. 88, no. 5, pp. 2217–2232, 2022, doi: 10.1002/mrm.29383. [doi]
3. D. Wang, R. Stirnberg, and T. Stöcker, “Improved gradient echo magnitude- and phase-based mapping of using multiple RF spoiling increments at 3T and 7T,” Magn. Reson. Med., vol. 92, no. 6, pp. 2328–2342, 2024, doi: 10.1002/mrm.30217. [doi]
4. R. P. A. G. Teixeira, S. J. Malik, and J. V. Hajnal, “Joint system relaxometry (JSR) and Crámer-Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation,” Magn. Reson. Med., vol. 79, no. 1, pp. 234–245, 2018, doi:10.1002/mrm.26670. [doi]
5. R. P. A.G. Teixeira, S. J. Malik, and J. V. Hajnal, “Fast quantitative MRI using controlled saturation magnetization transfer,” Magn. Reson. Med., vol. 81, no. 2, pp. 907–920, 2019, doi: 10.1002/mrm.27442. [doi]
6. B. B. Avants, N. J. Tustison, J. Wu, P. A. Cook, and J. C. Gee, “An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data,” Neuroinformatics, vol. 9, no. 4, p. 381, Dec. 2011, doi: 10.1007/s12021-011-9109-y. [doi]
7. S. M. Smith et al., “Advances in functional and structural MR image analysis and implementation as FSL,” NeuroImage, vol. 23 Suppl 1, pp. S208-219, 2004, doi: 10.1016/j.neuroimage.2004.07.051. [doi]
8. Tabelow K, Weiskopf N, Mohammadi S, et al. hMRI – A toolbox for quantitative MRI in neuroscience and clinical research. NeuroImage. 2019;194:191-210. doi: 10.1016/j.neuroimage.2019.01.029. [doi]
9. Adler S, Lorio S, Jacques TS, Benova B, Gunny R, Cross JH, Baldeweg T, Carmichael DW. Towards in vivo focal cortical dysplasia phenotyping using quantitative MRI. Neuroimage Clin. 2017 Apr 20;15:95-105. doi: 10.1016/j.nicl.2017.04.017. PMID: 28491496; PMCID: PMC5413300. [doi] [pmid]
10. Wang D, Ehses P, Stöcker T, Stirnberg R. Reproducibility of rapid multi-parameter mapping at 3T and 7T with highly segmented and accelerated 3D-EPI. Magn Reson Med. 2022 Nov;88(5):2217-2232. doi: 10.1002/mrm.29383. Epub 2022 Jul 25. PMID: 35877781. [doi] [pmid]
11. Callaghan M, Lutti A, Ashburner J, Balteau E, Corbin N, Draganski B, Helms G, Kherif F, Leutritz T, Mohammadi S, Phillips C, Reimer E, Ruthotto L, Seif M, Tabelow K, Ziegler G, Weiskopf N. Example dataset for the hMRI toolbox. Data in Brief. 2019;25:104132. doi: 10.1016/j.dib.2019.104132. [doi]
12. Friston K. Statistical parametric mapping. In: Friston K, Ashburner J, Kiebel S, Nichols T, Penny W, eds. Statistical Parametric Mapping. London: Academic Press; 2007. pp. 10–31. doi: 10.1016/B978-012372560-8/50002-4. [doi]
13. F. Szczepankiewicz, J. Sjölund, F. Ståhlberg, J. Lätt, und M. Nilsson, „Tensor-valued diffusion encoding for diffusional variance decomposition (DIVIDE): Technical feasibility in clinical MRI systems“, PLOS ONE, Bd. 14, Nr. 3, S. e0214238, März 2019, doi: 10.1371/journal.pone.0214238. [doi]
14. https://github.com/markus-nilsson/md-dmri/tree/master
15. https://github.com/bjeurissen/ciwlls/tree/master
16. A. Bernasconi et al., “Recommendations for the use of structural magnetic resonance imaging in the care of patients with epilepsy: A consensus report from the International League Against Epilepsy Neuroimaging Task Force,” Epilepsia, vol. 60, no. 6, pp. 1054–1068, Jun. 2019, doi: 10.1111/epi.15612. [doi]
17. Morez J, Szczepankiewicz F, den Dekker AJ, Vanhevel F, Sijbers J, Jeurissen B. Optimal experimental design and estimation for q-space trajectory imaging. Hum Brain Mapp. 2023;44: 1793–1809
18. G. David et al., „ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data“, Imaging Neuroscience, Bd. 2, S. 1–34, Sep. 2024, doi: 10.1162/imag_a_00288. [doi]
19. J.-D. Tournier, R. E. Smith, D. Raffelt, R. Tabbara, T. Dhollander, M. Pietsch, D. Christiaens, B. Jeurissen, C.-H. Yeh, and A. Connelly. MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage, 202 (2019), pp. 116–37.
20. A. Lutti, C. Hutton, J. Finsterbusch, G. Helms, and N. Weiskopf, “Optimization and validation of methods for mapping of the radiofrequency transmit field at 3T,” Magn. Reson. Med. Off. J. Soc. Magn. Reson. Med. Soc. Magn. Reson. Med., vol. 64, no. 1, pp. 229–238, Jul. 2010, doi: 10.1002/mrm.22421. [doi]
21. P. Ehses, D. Brenner, R. Stirnberg, E. D. Pracht, and T. Stöcker, “Whole-brain B1-mapping using three-dimensional DREAM,” Magn. Reson.Med., vol. 82, no. 3, pp. 924–934, Sep. 2019, doi: 10.1002/mrm.27773. [doi]
22. Rapid B1+ mapping using a preconditioning RF pulse with TurboFLASH readout - PubMed. Accessed: Nov. 05, 2024.
23. mrphysics-bonn/MagPhsT2. (Dec. 08, 2023). Accessed: Nov. 04, 2024. [Online]. Available: https://github.com/mrphysics-bonn/MagPhsT2
24. T. Wood, spinicist/QUIT. (Aug. 07, 2024). C++. Accessed: Nov. 04, 2024. [Online]. Available: https://github.com/spinicist/QUIT
25. T. Wood, “QUIT: QUantitative Imaging Tools,” Journal of Open Source Software. Accessed: Nov. 05, 2019. [Online]. Available: https://joss.theoj.org
26. Chung S, Kim D, Breton E, Axel L. Rapid B1+ mapping using a preconditioning RF pulse with TurboFLASH readout. Magn Reson Med. 2010 Aug;64(2):439-46. doi: 10.1002/mrm.22423. PMID: 20665788; PMCID: PMC2929762. [doi] [pmid]
27. NIHR Award [Internet]. Development Funding Awards; 2023. Available from: https://www.dev.fundingawards.nihr.ac.uk/award/NIHR204201
28. J. Veraart, D. S. Novikov, D. Christiaens, B. Ades-Aron, J. Sijbers, and E. Fieremans, “Denoising of diffusion MRI using random matrix theory,” NeuroImage, vol. 142, pp. 394–406, Nov. 2016, doi: 10.1016/j.neuroimage.2016.08.016. [doi]
29. L. Cordero-Grande, D. Christiaens, J. Hutter, A. N. Price, and J. V. Hajnal, “Complex diffusion-weighted image estimation via matrix recovery under general noise models,” NeuroImage, vol. 200, pp. 391–404, Oct. 2019, doi: 10.1016/j.neuroimage.2019.06.039. [doi]
30. M. Jenkinson, C. F. Beckmann, T. E. J. Behrens, M. W. Woolrich, and S. M. Smith, “FSL,” NeuroImage, vol. 62, no. 2, pp. 782–790, Aug. 2012, doi: 10.1016/j.neuroimage.2011.09.015. [doi]
31. M. Jenkinson, C. F. Beckmann, T. E. J. Behrens, M. W. Woolrich, and S. M. Smith, “FSL,” NeuroImage, vol. 62, no. 2, pp. 782–790, Aug. 2012, doi: 10.1016/j.neuroimage.2011.09.015. [doi]
32. B. B. Avants, N. J. Tustison, G. Song, P. A. Cook, A. Klein, and J. C. Gee, “A Reproducible Evaluation of ANTs Similarity Metric Performance in Brain Image Registration,” NeuroImage, vol. 54, no. 3, p. 2033, Sep. 2010, doi: 10.1016/j.neuroimage.2010.09.025. [doi]
33. Pierre-Louis Bazin, Hannah E. Nijsse, Wietske van der Zwaag, Daniel Gallichan, Anneke Alkemade, Frans M. Vos, Birte U. Forstmann, Matthan W.A. Caan, “Sharpness in motion corrected quantitative imaging at 7T”, NeuroImage, Volume 222, 2020, 117227, doi:10.1016/j.neuroimage.2020.117227. [doi]
34. Rafael Neto Henriques, Andrada Ianus, Noam Shemesh, Rui V. Simões, “Correlation Tensor MRI of the Mouse Brain at 3 Tesla”, ISMRM 2025, abstract program number 3901.

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http://echo.ismrm.org/p/ISMRM2026/362-01-014