Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection

Michael Davies; Gilles Puy; Pierre Vandergheynst; Yves Wiaux

Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection

Michael Davies, Gilles Puy, Pierre Vandergheynst, Yves Wiaux

School of Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract / Description of output

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
Publication status	Published - 4 May 2014
Event	ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Florence, Italy, Florence, United Kingdom Duration: 4 May 2014 → 9 May 2014

Conference

Conference	ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Country/Territory	United Kingdom
City	Florence
Period	4/05/14 → 9/05/14

Access to Document

http://arxiv.org/pdf/1312.2457.pdf

EPFL Research Visit
Davies, M.
EPSRC
5/01/13 → 4/05/13
Project: Research

Cite this

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title = "Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection",

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. ",

author = "Michael Davies and Gilles Puy and Pierre Vandergheynst and Yves Wiaux",

year = "2014",

month = may,

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language = "English",

note = "ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; Conference date: 04-05-2014 Through 09-05-2014",

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T1 - Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection

AU - Davies, Michael

AU - Puy, Gilles

AU - Vandergheynst, Pierre

AU - Wiaux, Yves

PY - 2014/5/4

Y1 - 2014/5/4

N2 - 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.

AB - 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.

M3 - Paper

T2 - ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Y2 - 4 May 2014 through 9 May 2014

ER -

Compressed Quantitative MRI: Bloch Response Recovery through Iterated Projection

Abstract / Description of output

Conference

Access to Document

Fingerprint

Projects

EPFL Research Visit

Cite this