2181 ISMRM Abstract

Automatic detection and measurement of WM lesions in MS patients using MR-STAT and a self-supervised bivariate Gaussian probabilistic model

2181 · Relaxometry · Monday, 6 May, 4:00 PM–5:00 PM · Exhibition Hall (Hall 403)

Keywords: Multiple Sclerosis Relaxometry MR-STAT Machine learning

Accepted

Martin B Schilder ¹, Stefano Mandija¹, Sarah M Jacobs², Jordi P Kleinloog¹, Hanna Liu¹, Oscar van der Heide¹, Vera Keil³, Evert-Jan P Vonken⁴, Jan Willem Dankbaar⁴, Jeroen Hendrikse⁴, Cornelis A van den Berg¹, Anja van der Kolk^4,5, Alessandro A Sbrizzi¹

¹Computational Imaging Group for MR Therapy and Diagnostics, University Medical Center Utrecht, Utrecht, Netherlands

²Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, Netherlands

³Department of Radiology, Amsterdam UMC, Amsterdam, Netherlands

⁴Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands

⁵Department of Medical Imaging, Nijmegen, Netherlands

Presenting Author: Martin B Schilder

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References

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2. Sbrizzi A, Heide O van der, Cloos M, et al. Fast quantitative MRI as a nonlinear tomography problem. Magn Reson Imaging. 2018;46:56-63. doi:10.1016/j.mri.2017.10.015 5. Kleinloog JPD, Mandija S, D’Agata F, et al. Synthetic MRI with Magnetic Resonance Spin TomogrAphy in Time-Domain (MR-STAT): Results from a Prospective Cross-Sectional Clinical Trial. J Magn Reson Imaging. 2023;57(5):1451-1461. doi:https://doi.org/10.1002/jmri.28425 6. Liu H, van der Heide O, Mandija S, van den Berg CAT, Sbrizzi A. Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC Within 3 Minutes. IEEE Trans Med Imaging. 2022;41(10):2681-2692. doi:10.1109/TMI.2022.3168436 7. McCarthy P. FSLeyes. Published online June 13, 2023. doi:10.5281/ZENODO.8033457 8. Manjón J V., Romero JE, Vivo-Hernando R, et al. vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis. Front Neuroinform. 2022;16. doi:10.3389/fninf.2022.862805 9. Okubo G, Okada T, Yamamoto A, et al. Relationship between aging and T 1 relaxation time in deep gray matter: A voxel-based analysis. J Magn Reson Imaging. 2017;46(3):724-731. doi:10.1002/jmri.25590 10. Badve C, Yu A, Rogers M, et al. Simultaneous T1 and T2 Brain Relaxometry in Asymptomatic Volunteers Using Magnetic Resonance Fingerprinting. Tomography. 2015;1(2):136-144. doi:10.18383/j.tom.2015.00166 11. Liu H, Van Der Heide O, Versteeg E, et al. A three-dimensional MR-STAT protocol for high-resolution multi-parametric quantitative MRI. NMR Biomed. 2023;IN PRESS [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2024/2181