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Abstract #3644

Multi-component diffusion technique acquisition protocol optimization for different microstructure models

Tommaso Ciceri1, Alberto De Luca2,3, Filippo Arrigoni1,4, and Denis Peruzzo1
1NeuroImaging Unit, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy, 2Neurology Department, UMC Utrecht, Utrecht, Netherlands, 3PROVIDI Lab, Image Sciences Institute UMC Utrecht, Utrecht, Netherlands, 4Radiology Unit, Fatebenefratelli Hospital, Milan, Italy

Complementary aspects of the tissue microstructure can be addressed using different models to quantify diffusion MRI. However, there is no consensus on a common acquisition scheme within a clinical feasible time to support the quantification of multiple models. We acquired a large dataset with multiple b-values and directions, and recursively subsampled it to identify the minimum acquisition scheme (MAS) for each model. Finally, we investigated the impact of the MAS on the parameter estimates in the main fiber bundles of the brain. This work supports the transition of advanced analyses to the clinical practice.

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