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Abstract #0556

Improved precision and accuracy in q-space trajectory imaging by model-based super-resolution reconstruction

Ben Jeurissen1, Carl-Fredrik Westin2,3, Jan Sijbers1, and Filip Szczepankiewicz2,3,4

1imec-Vision Lab, Dept. of Physics, University of Antwerp, Antwerp, Belgium, 2Brigham and Women's Hospital, Boston, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Medical Radiation Physics, Lund University, Lund, Sweden

Q-space trajectory imaging (QTI) facilitates tensor-valued diffusion encoding with variable shapes and provides more specific parameters than those available from conventional stick-shaped encoding. However, it generally requires longer echo times than conventional encoding, impacting the spatial resolution, scan time or signal-to-noise ratio. In this work, we propose a super-resolution acquisition and reconstruction approach for QTI that allows high-resolution parameter maps to be estimated from multiple low-resolution images. Using simulations and real data, we show that this does not only improve QTI’s precision, it also significantly improves its accuracy, as it avoids deleterious signal bias caused by the noise floor.

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