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Magnetic Resonance Imaging

Magnetic resonance imaging and derived modalities.

Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small-animal imaging

I. O. Jelescu, Grussu, F., Ianus, A., Hansen, B., Barrett, R. L. C., Aggarwal, M., Michielse, S., Nasrallah, F., Syeda, W., Wang, N., Veraart, J., Roebroeck, A., Bagdasarian, A. F., Eichner, C., Sepehrband, F., Zimmermann, J., Soustelle, L., Bowman, C., Tendler, B. C., Hertanu, A., Jeurissen, B., Verhoye, M., Frydman, L., van de Looij, Y., Hike, D., Dunn, J. F., Miller, K., Landman, B. A., Shemesh, N., Anderson, A., McKinnon, E., Farquharson, S., Dell'Acqua, F., Pierpaoli, C., Drobnjak, I., Leemans, A., Harkins, K. D., Descoteaux, M., Xu, D., Huang, H., Santin, M. D., Grant, S. C., Obenaus, A., Kim, G. S., Wu, D., Le Bihan, D., Blackband, S. J., Ciobanu, L., Fieremans, E., Bai, R., Leergaard, T. B., Zhang, J., Dyrby, T. B., G. Johnson, A., Cohen‐Adad, J., Budde, M. D., and Schilling, K. G., “Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small-animal imaging”, Magnetic Resonance in Medicine, vol. 93, no. 6, pp. 2507 - 2534, 2025.

Towards dopaminergic SPECT estimation from structural MRI sequences to characterize Parkinson’s disease

F. Sierra-Jerez, Valencia, Y., Giraldo, D., and Martínez, F., “Towards dopaminergic SPECT estimation from structural MRI sequences to characterize Parkinson’s disease”, in 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024, pp. 1-4.

Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening

S. Aerts, Werthen-Brabants, L., Khan, H., Giraldo, D., De Brouwer, E., Geys, L., Popescu, V., Sijbers, J., Woodruff, H. C., Dhaene, T., Deschrijver, D., Van Wijmeersch, B., Lambin, P., and Peeters, L. M., “Combining magnetic resonance imaging and evoked potentials enhances machine learning prediction of multiple sclerosis disability worsening”, Frontiers in Immunology, vol. 17, 2026.

Improved Diagnosis and Prognosis of Mild Traumatic Brain Injury via Harmonised Diffusion MRI

M. Siqueira Pinto, “Improved Diagnosis and Prognosis of Mild Traumatic Brain Injury via Harmonised Diffusion MRI”, 2025.

Leveraging Hand-Crafted Radiomics on Multicenter FLAIR MRI for Predicting Disability Worsening in People with Multiple Sclerosis

H. Khan, Giraldo, D., Woodruff, H. C., Werthen-Brabants, L., Mali, S. Atul, Amirrajab, S., De Brouwer, E., Popescu, V., Van Wijmeersch, B., Gerlach, O., Sijbers, J., Peeters, L. M., and Lambin, P., “Leveraging Hand-Crafted Radiomics on Multicenter FLAIR MRI for Predicting Disability Worsening in People with Multiple Sclerosis”, Front. Neurosci., vol. 19, 2025.

Harmonization of diffusion MRI on healthy subjects using NeuroCombat and LongCombat: a B-Q MINDED Brain Intra-and Inter-Scanner Study

M. Siqueira Pinto, Anania, V., Paolella, R., Smekens, C., Billiet, T., Janssens, T., den Dekker, A. J., Sijbers, J., Guns, P. - J., and Van Dyck, P., “Harmonization of diffusion MRI on healthy subjects using NeuroCombat and LongCombat: a B-Q MINDED Brain Intra-and Inter-Scanner Study”, Frontiers in Neuroscience, vol. 19, 2025.

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