Accelerated MR imaging with spread spectrum encoding
Details
State: Public
Version: author
Serval ID
serval:BIB_4671A46C2DFF
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Abstract (Abstract): shot summary in a article that contain essentials elements presented during a scientific conference, lecture or from a poster.
Collection
Publications
Institution
Title
Accelerated MR imaging with spread spectrum encoding
Title of the conference
ISMRM 2011, 19th Annual Meeting of the International Society for Magnetic Resonance in Medicine
Address
Montreal, Quebec, Canada, May 7-13, 2011
ISBN
1524-6965
Publication state
Published
Issued date
2011
Volume
19
Series
Proceedings of the International Society for Magnetic Resonance in Medicine
Pages
2808
Language
english
Abstract
We advocate the use of a novel compressed sensing
technique for accelerating the magnetic resonance image
acquisition process, coined spread spectrum MR imaging or
simply s2MRI. The method resides in pre-modulating the
signal of interest by a linear chirp, resulting from the
application of quadratic phase profiles, before random
k-space under-sampling with uniform average density. The
effectiveness of the procedure is theoretically
underpinned by the optimization of the coherence between
the sparsity and sensing bases. The application of the
technique for single coil acquisitions is thoroughly
studied by means of numerical simulations as well as
phantom and in vivo experiments on a 7T scanner. The
corresponding results suggest a favorable comparison with
state-of-the-art variable density k-space under-sampling
approaches.
technique for accelerating the magnetic resonance image
acquisition process, coined spread spectrum MR imaging or
simply s2MRI. The method resides in pre-modulating the
signal of interest by a linear chirp, resulting from the
application of quadratic phase profiles, before random
k-space under-sampling with uniform average density. The
effectiveness of the procedure is theoretically
underpinned by the optimization of the coherence between
the sparsity and sensing bases. The application of the
technique for single coil acquisitions is thoroughly
studied by means of numerical simulations as well as
phantom and in vivo experiments on a 7T scanner. The
corresponding results suggest a favorable comparison with
state-of-the-art variable density k-space under-sampling
approaches.
Keywords
Compressed sensing, Magnetic resonance imaging, Spread, spectrum, LTS5, CIBM-SPC, CIBM-AIT
Create date
07/01/2014 8:11
Last modification date
20/08/2019 13:51
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