The goal of this work was to compare diffusion and microstructure parameters estimation when the sample is soaked or not in gadolinium before imaging (Gd-staining). We found that Gd-staining is suitable for diffusion imaging experiment, leading to higher SNR and higher useful b-values. Meanwhile, care must be taken for several microstructure parameters estimation as T1 may vary during experiment.
This study was performed at 11.7T on a Bruker Biopsec (Bruker Biospin, Germany) running Paravision 6.0.1, using a quadrature 72mm transceiver. A vial containing a macaque brain within Fluorinert (3M, Germany) was manually placed at the center of the transceiver, within the magnet. After imaging, the brain was taken out and placed in a 1:200 dilution of Gadolinium (Dotarem, Guerbet, France) in Phosphate Buffer Saline (PBS). The brain was then replaced in the same vial and fluorinert solution for imaging. The two imaging sessions (without and after gadolinium-staining) consisted in evaluating T1 and T2 values at the beginning and at the end of the diffusion experiments in both gray and white matter. For each session, whole-brain diffusion-weighted images were acquired using a 3D segmented EPI sequence by using 32 segments. Sequence parameters were: FOV: 7.68*5.76*5.12 cm3; Mtx: 384*288*256 leading to an isotropic resolution of 200 μm; TR/TE=250/26 ms; δ=6.5 ms and Δ=12.3 ms. Three different shells were acquired with b-values of 10000, 4000 and 500 mm²/s with respectively 64, 32 and 8 non-collinear directions. 8 A0 images (without diffusion gradient) were also acquired with the same parameters as reference. Total scan time for measurements was 64 hours.
We fitted NODDI using the AMICO Matlab toolbox4 : the intra-cellular volume fraction (ICVF) referring to the space bounded by the membranes of neurites, their orientation dispersion (OD), and the isotropic volume fraction.
The research leading to these results received funding from the programs 'Institut des neurosciences translationnelle' ANR-10-IAIHU-06 and 'Infrastructure d’avenir en Biologie Santé' ANR-11-INBS-0006.
SBS has been supported by the Bettencourt Schueller Foundation and by the National Agency for Research under the program "Investissements d’avenir" ANR-10-EQPX-15.
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