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Abstract #0036

Super-resolution for spherical deconvolution of multi-shell diffusion MRI data

Ben Jeurissen1, Gabriel Ramos-Llordén1, Floris Vanhevel2, Paul M Parizel2, and Jan Sijbers1

1imec-Vision Lab, Dept. of Physics, University of Antwerp, Antwerp, Belgium, 2Dept. of Radiology, Antwerp University Hospital and University of Antwerp, Antwerp, Belgium

Multi-tissue constrained spherical deconvolution (MT-CSD) can simultaneously estimate the full white matter fiber orientation distribution function (fODF) and the apparent densities of cerebrospinal fluid and grey matter from multi-shell diffusion MRI data, making it an attractive option for clinical and neuroscientific studies. Unfortunately, MT-CSD at high spatial resolution is challenging due to scan time and signal-to-noise ratio constraints. We propose a new MT-CSD approach that enables super-resolution estimation from multiple thick-sliced data sets with varying slice orientation. Using data acquired on a clinical scanner, we demonstrate high-quality tissue density maps and fODFs at 1×1×1mm3 spatial resolution in under 10 minutes.

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