Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
570-11-245 ISMRM Abstract

Characterizing Microstructural Heterogeneity in Pediatric Leukodystrophies Using Multi-Compartment Diffusion MRI

Primary: Diffusion - Microstructure
Secondary: Pediatrics - Neuro
570-11-245 · Pediatric MR Imaging in Practice · Wednesday, 13 May, 4:55 PM–5:50 PM · Traditional Posters | Exhibition Hall
Keywords: Multi-compartment diffusion MRI Pediatric leukodystrophies Lesion characterization Region-of-interest analysis
Accepted
Valentina Bordin 1, Francesco Pacchiano2, Cecilia Parazzini3,4, Chiara Doneda3, Giana Izzo3, Denis Peruzzo5, Ylenia Vaia4,6, Fabio Bruschi4,6, Davide Tonduti4,6, Andrea Righini3, Giuseppe Baselli1, FIlippo Arrigoni3
1Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
2University of Naples “Luigi Vanvitelli”, Naples, Italy
3V. Buzzi Children's Hospital, Milan, Italy
4Unit of Pediatric Neurology, C.O.A.L.A (Center for Diagnosis and Treatment of Leukodystrophies), V. Buzzi Children's Hospital, Milan, Italy
5Neuroimaging Unit, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy
6Neuroscience Research Center, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
Presenting Author: Valentina Bordin

Synopsis

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References

1. G. Ceravolo et al., ‘Update on leukodystrophies and developing trials’, J. Neurol., vol. 271, no. 1, pp. 593–605, Jan. 2024, doi: 10.1007/s00415-023-11996-5. [doi]
2. M. D. Stellingwerff, P. J. W. Pouwels, S. D. Roosendaal, F. Barkhof, and M. S. Van Der Knaap, ‘Quantitative MRI in leukodystrophies’, NeuroImage Clin., vol. 38, p. 103427, 2023, doi: 10.1016/j.nicl.2023.103427. [doi]
3. M. O. Irfanoglu, P. Modi, A. Nayak, E. B. Hutchinson, J. Sarlls, and C. Pierpaoli, ‘DR-BUDDI (Diffeomorphic Registration for Blip-Up blip-Down Diffusion Imaging) method for correcting echo planar imaging distortions’, NeuroImage, vol. 106, pp. 284–299, Feb. 2015, doi: 10.1016/j.neuroimage.2014.11.042. [doi]
4. C. Pierpaoli et al., ‘TORTOISE: an integrated software package for processing of diffusion MRI data’, in ISMRM 18th Annual Meeting, Stockholm, Sweden, 2010.
5. M. O. Irfanoglu, A. Nayak, J. Jenkins, and C. Pierpaoli, ‘TORTOISEv3: Improvements and New Features of the NIH Diffusion MRI Processing Pipeline’, in ISMRM 25th Annual Meeting, Honolulu, HI, 2017.
6. H. A. F. Yska et al., ‘Myelin-water imaging and multi-shell diffusion-weighted imaging in adults with adrenoleukodystrophy’, Brain Commun., vol. 7, no. 5, p. fcaf371, Sept. 2025, doi: 10.1093/braincomms/fcaf371. [doi]
7. P. N. Alves et al., ‘An improved neuroanatomical model of the default-mode network reconciles previous neuroimaging and neuropathological findings’, Commun. Biol., vol. 2, no. 1, p. 370, Oct. 2019, doi: 10.1038/s42003-019-0611-3. [doi]

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http://echo.ismrm.org/p/ISMRM2026/570-11-245