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Abstract #0002

High resolution diffusion tensor reconstruction from simultaneous multi-slice acquisitions in a clinically feasible scan time

Gwendolyn Van Steenkiste1, Ben Jeurissen1, Steven Baete2,3, Arnold J den Dekker1,4, Dirk H.J. Poot5,6, Fernando Boada2,3, and Jan Sijbers1

1iMinds-Vision Lab, University of Antwerp, Antwerp, Belgium, 2Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY, United States, 3Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States, 4Delft Center for Systems and Control, Delft University of Technology, Delft, Netherlands, 5Imaging Science and Technology, Delft University of Technology, Delft, Netherlands, 6Biomedical Imaging Group Rotterdam, Erasmus Medical Center Rotterdam, Rotterdam, Rotterdam, Netherlands

Achieving a high spatial resolution with DTI is challenging due to the inherent trade-off between resolution, acquisition time and signal-to-noise ratio (SNR). We propose a strategy to improve this trade-off by combining super-resolution DTI (SR-DTI) and simultaneous multi-slice (SMS) acquisition. With SMS-SR-DTI, high resolution DTI parameters can be recovered from thick slice images which have a high SNR. By acquiring the images with SMS, the overall acquisition time remains clinically feasible. As such, high resolution in vivo DTI becomes feasible in a clinical setting. This opens up exciting possibilities for diffusion MRI research.

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