Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
666-02-003 ISMRM Abstract

Blood-Brain Barrier Water Exchange MR Fingerprinting Optimisation Using Differential Evolution and Latin Hypercube Sampling

Primary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI
Secondary: Neuro - Blood Vessels
666-02-003 · Multiparametric Quantitative MR Methods · Thursday, 14 May, 9:25 AM–10:20 AM · Digital Posters Row G
Keywords: MR Fingerprinting Water exchange Blood brain barrier MRI sequence optimization Quantitative MRI (qMRI)
Accepted
Ela Kanani 1,2, Emma L Thomson3, Elizabeth Powell1,2, Geoff J Parker1,2,4
1Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
2UCL Hawkes Institute, University College London, London, United Kingdom
3Department of Radiology and Nuclear Medicine - Amager and Hvidovre, Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital, Copenhagen, Denmark
4Bioxydyn Limited, Manchester, United Kingdom
Presenting Author: Ela Kanani

Synopsis

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References

1. Kadry H, Noorani B, Cucullo L. A blood–brain barrier overview on structure, function, impairment, and biomarkers of integrity. Fluids Barriers CNS. 2020;17(1):69. doi:10.1186/s12987-020-00230-3 [doi]
2. Ma D, Gulani V, Seiberlich N, et al. Magnetic resonance fingerprinting. Nature. 2013;495(7440):187-192. doi:10.1038/nature11971 [doi]
3. Thomson E.L., Powell E., Gandini Wheeler-Kingshott C.A.M., Parker G.J.M. Quantification of water exchange across the blood-brain barrier using noncontrast MR fingerprinting. Magn Reson Med. 2024;92(4):1392 EP - 1403. doi:10.1002/mrm.30127 [doi]
4. Slioussarenko C, Baudin P, Marty B. A steady‐state MR fingerprinting sequence optimization framework applied to the fast 3D quantification of fat fraction and water T1 in the thigh muscles. Magn Reson Med. 2025;93(6):2623-2639. doi:10.1002/mrm.30490 [doi]
5. Storn R, Price K. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces. Journal of Global Optimization. 1997;11(4):341-359. doi:10.1023/A:1008202821328 [doi]
6. Cohen O, Rosen MS. Algorithm comparison for schedule optimization in MR fingerprinting. Magnetic Resonance Imaging. 2017;41:15-21. doi:10.1016/j.mri.2017.02.010 [doi]
7. Cohen O, Armstrong B, Ackerman J, Rosen M. Magnetic Resonance Fingerprinting Trajectory Optimization. In: Proc. Intl. Soc. Mag. Reson. Med. 22. 2014.
8. McKay MD, Beckman RJ, Conover WJ. Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code. Technometrics. 1979;21(2):239-245. doi:10.1080/00401706.1979.10489755 [doi]
9. Jiang Y, Ma D, Seiberlich N, Gulani V, Griswold MA. MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout: MR Fingerprinting with FISP. Magn Reson Med. 2015;74(6):1621-1631. doi:10.1002/mrm.25559 [doi]
10. Virtanen P, Gommers R, Oliphant TE, et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat Methods. 2020;17(3):261-272. doi:10.1038/s41592-019-0686-2 [doi]
11. Das S, Suganthan PN. Differential Evolution: A Survey of the State-of-the-Art. IEEE Trans Evol Computat. 2011;15(1):4-31. doi:10.1109/TEVC.2010.2059031 [doi]
12. Lu H, Clingman C, Golay X, Van Zijl PCM. Determining the longitudinal relaxation time ( T1 ) of blood at 3.0 Tesla. Magn Reson Med. 2004;52(3):679-682. doi:10.1002/mrm.20178 [doi]
13. Wansapura JP, Holland SK, Dunn RS, Ball WS. NMR relaxation times in the human brain at 3.0 tesla. J Magn Reson Imaging. 1999;9(4):531-538. doi:10.1002/(SICI)1522-2586(199904)9:4%3C531::AID-JMRI4%3E3.0.CO;2-L [doi]
14. Copen WA, Lev MH, Rapalino O. Brain perfusion. In: Handbook of Clinical Neurology. Vol 135. Elsevier; 2016:117-135. doi:10.1016/B978-0-444-53485-9.00006-4 [doi]
15. Kang B., Kim B., Park H., Heo H.-Y. Learning-based optimization of acquisition schedule for magnetization transfer contrast MR fingerprinting. NMR Biomed. 2022;35(5):e4662. doi:10.1002/nbm.4662 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/666-02-003