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Abstract #3137

Accelerated quantitative magnetization transfer (qMT) imaging using compressed sensing and parallel imaging

Melany McLean1, R. Marc Lebel1,2, M. Ethan MacDonald1, Mathieu Boudreau3,4, and G. Bruce Pike1
1Departments of Radiology and Clinical Neuroscience, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada, 2GE Healthcare, Calgary, AB, Canada, 3Montreal Heart Institute, Université de Montreal, Montreal, QC, Canada, 4NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada

Quantitative magnetization transfer (qMT) is a Z-spectrum based imaging technique used to study white matter. The need to acquire many images with unique RF saturation pulses leads to long acquisition times. We aim to shorten qMT imaging times using a sparseSENSE technique that combines parallel imaging and compressed sensing to reduce the amount of acquired data. Retrospectively undersampled data was reconstructed for a range of acceleration factors using wavelet and total variation sparsifying domains. Pool size ratio (F) maps were accelerated by a factor of 4×, and acceleration factors of 8-12× may be possible in future work.

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