Compressed Quantitative MRI: Bloch Response Recovery through iterated projection

Inspired by the recently proposed Magnetic Resonance Fin- gerprinting technique, we develop a principled compressed sensing framework for quantitative MRI. The three key com- ponents are: a random pulse excitation sequence following the MRF technique; a random EPI subsampling strategy and an iterative projection algorithm that imposes consistency with the Bloch equations. We show that, as long as the ex- citation sequence possesses an appropriate form of persistent excitation, we are able to achieve accurate recovery of the proton density, T1, T2 and off-resonance maps simultane- ously from a limited number of samples.


Published in:
Proceedings of 39th IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP)
Presented at:
IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP), Florence, Italy
Year:
2014
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 Record created 2014-02-06, last modified 2018-11-26

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