Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
667-02-003 ISMRM Abstract

Enhancing High b-value Diffusion MRI Microstructure Mapping with CASA Denoising

Primary: Diffusion - Diffusion Modeling
Secondary: Diffusion - Microstructure
667-02-003 · Diffusion Microstructure and Beyond · Thursday, 14 May, 9:25 AM–10:20 AM · Digital Posters Row H
Keywords: Microstructure DKI Diffusion-weighted MRI Denoising SANDI model
Accepted
Mauro Zucchelli1, Marco Palombo2, Christos Papageorgakis1, Carolyn McNabb2, Derek K Jones2, Stefano Casagranda 1
1Innovation Lab, Olea Medical, La Ciotat, France
2Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, United Kingdom
Presenting Author: Stefano Casagranda

Synopsis

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References

1. Casagranda S.; Papageorgakis C.; et al. Principal Component selections and filtering by spatial information criteria for multi-acquisition CEST MRI denoising. In Proceedings of the 31st Annual Meeting of the ISMRM 2022. Abstract 2080.
2. Zucchelli, Mauro et al Component Analysis based on Standard-deviation Attenuation(CASA): a new algorithm for the denoising of Diffusion MRI data. In Proceedings of the 32st Annual Meeting of the ISMRM 2023. Abstract 1136.
3. McNabb, Carolyn B., et al. "WAND: A multi-modal dataset integrating advanced MRI, MEG, and TMS for multi-scale brain analysis." Scientific Data 12.1 (2025): 220.
4. Jensen, Jens H., et al. "Diffusional kurtosis imaging: the quantification of non‐gaussian water diffusion by means of magnetic resonance imaging." Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine 53.6 (2005): 1432-1440.
5. Haije, Tom Dela, Evren Özarslan, and Aasa Feragen. "Enforcing necessary non-negativity constraints for common diffusion MRI models using sum of squares programming." NeuroImage 209 (2020): 116405.
6. Henriques, Rafael Neto, et al. "Diffusional kurtosis imaging in the diffusion imaging in python project." Frontiers in Human Neuroscience 15 (2021): 675433.
7. Palombo, Marco, et al. "SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI." Neuroimage 215 (2020): 116835.
8. Garyfallidis, Eleftherios, et al. "Dipy, a library for the analysis of diffusion MRI data." Frontiers in neuroinformatics 8 (2014): 8.
9. Zucchelli, Mauro, Samuel Deslauriers-Gauthier, and Rachid Deriche. "A computational framework for generating rotation invariant features and its application in diffusion MRI." Medical image analysis 60 (2020): 101597.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/667-02-003