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Abstract #2625

Optimised sampling for low-dimensional compressed sensing

Joshua Michael McAteer1, Olivier Mougin1, James Harkin2, Paul Glover1, and Penny Gowland1
1Physics, University of Nottingham, Nottingham, United Kingdom, 2Medicine, University of Nottingham, Nottingham, United Kingdom

Optimising compressed sensing sampling can yield a significant increase in measured and observed image quality over heuristic sampling methods. Using an example image, such as a previous acquired scan of the same anatomy, a bespoke sampling pattern can be designed that optimally samples the data. This increase in image quality allows for greater acceleration or better SNR with the same imaging time over standard methods such as variable density Poisson disc sampling. This has been tested on a 0.5T upright MR scanner in phantoms.

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