Compressed quantitative MRI: Bloch response recovery through iterated projection

Mike Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)
68 Downloads (Pure)


Inspired by the recently proposed Magnetic Resonance Fingerprinting technique, we develop a principled compressed sensing framework for quantitative MRI. The three key components 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 excitation 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 simultaneously from a limited number of samples.
Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing
Number of pages5
ISBN (Print)978-1-4799-2893-4
Publication statusPublished - 2014
Event39th IEEE International Conference on Acoustics, Speech and Signal Processing 2014 - Florence, Italy, Florence, Italy
Duration: 4 May 20149 May 2014


Conference39th IEEE International Conference on Acoustics, Speech and Signal Processing 2014
Abbreviated titleICASSP 2014
OtherICASSP is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The series is sponsored by the IEEE Signal Processing Society and has been held annually since 1976. The conference features world-class speakers, tutorials, exhibits, a Show and Tell event, and over 120 lecture and poster sessions.
ICASSP is a cooperative effort of the IEEE Signal Processing Society Technical Committees:
Audio and Acoustic Signal Processing
Bio Imaging and Signal Processing
Design and Implementation of Signal Processing Systems
Image, Video, and Multidimenional Signal Processing
Information Forensics and Security
Industry DSP Technology Standing Committee
Machine Learning for Signal Processing
Multimedia Signal Processing
Sensor Array and Multichannel
Signal Processing for Communications and Networking
Signal Processing Education Standing Committee
Signal Processing Theory and Methods
Speech and Langauge Processing
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