Abstract
Diffusion MRI (dMRI) is widely used to chart the development of brain white matter (WM) microstructure across the lifespan, but suffers from susceptibility distortions and signal loss in brain regions at air-tissue boundaries like the brain stem, and ventral regions of the temporal and frontal lobes. Due to time limitations when acquiring data in adolescent, aging, and clinical populations, acquiring dMRI data twice with opposite phase encoding directions (blip-up, blip-down), as required by existing susceptibility correction tools, may not be feasible. Here we used 3T dMRI data from 99 healthy adolescents (age range: 8–21 yrs; 48% Male) from the HCP Development cohort to compare six preprocessing schemes—using either no, full, or various degrees of duplicate blip-up blip-down data as input for FSL’s widely used topup and eddy distortion correction tools—to provide guidance on dMRI acquisition protocols when scan time is limited and a trade-off needs to be made. For each preprocessing pipeline, we compared the error in regional WM DTI and NODDI model fits, as well as regional associations with age. We found that model fitting errors were significantly higher in pipelines that did not use the full blip-up blip-down acquisition; associations with age were largely not affected by the preprocessing scheme used to correct susceptibility distortions.
T. M. Nir and J. E. Villalón-Reina—Contributed equally to this work.
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Acknowledgements
This work was funded in part by NIH R01 AG059874, T32 AG058507, P41 EB015922, RF1 AG057892, and Biogen Inc.
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Nir, T.M., Villalón-Reina, J.E., Thompson, P.M., Jahanshad, N. (2022). The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures. In: Cetin-Karayumak, S., et al. Computational Diffusion MRI. CDMRI 2022. Lecture Notes in Computer Science, vol 13722. Springer, Cham. https://doi.org/10.1007/978-3-031-21206-2_5
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