Abstract #0002

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

Gwendolyn Van Steenkiste¹, Ben Jeurissen¹, Steven Baete^2,3, Arnold J den Dekker^1,4, Dirk H.J. Poot^5,6, Fernando Boada^2,3, 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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