Abstract
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 language | English |
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Title of host publication | Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing |
Publisher | IEEE |
Pages | 6899-6903 |
Number of pages | 5 |
ISBN (Print) | 978-1-4799-2893-4 |
DOIs | |
Publication status | Published - 2014 |
Event | 39th IEEE International Conference on Acoustics, Speech and Signal Processing 2014 - Florence, Italy, Florence, Italy Duration: 4 May 2014 → 9 May 2014 http://www.icassp2014.org/home.html |
Conference
Conference | 39th IEEE International Conference on Acoustics, Speech and Signal Processing 2014 |
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Abbreviated title | ICASSP 2014 |
Country/Territory | Italy |
City | Florence |
Period | 4/05/14 → 9/05/14 |
Other | ICASSP 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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