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Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods
Joint Authors
Yankeelov, Thomas E.
Gore, John C.
Smith, David S.
Welch, E. Brian
Source
International Journal of Biomedical Imaging
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-01
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Compressive sensing (CS) has been shown to enable dramatic acceleration of MRI acquisition in some applications.
Being an iterative reconstruction technique, CS MRI reconstructions can be more time-consuming than traditional inverse Fourier reconstruction.
We have accelerated our CS MRI reconstruction by factors of up to 27 by using a split Bregman solver combined with a graphics processing unit (GPU) computing platform.
The increases in speed we find are similar to those we measure for matrix multiplication on this platform, suggesting that the split Bregman methods parallelize efficiently.
We demonstrate that the combination of the rapid convergence of the split Bregman algorithm and the massively parallel strategy of GPU computing can enable real-time CS reconstruction of even acquisition data matrices of dimension 40962 or more, depending on available GPU VRAM.
Reconstruction of two-dimensional data matrices of dimension 10242 and smaller took ~0.3 s or less, showing that this platform also provides very fast iterative reconstruction for small-to-moderate size images.
American Psychological Association (APA)
Smith, David S.& Gore, John C.& Yankeelov, Thomas E.& Welch, E. Brian. 2012. Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods. International Journal of Biomedical Imaging،Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-504519
Modern Language Association (MLA)
Smith, David S.…[et al.]. Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods. International Journal of Biomedical Imaging No. 2012 (2012), pp.1-6.
https://search.emarefa.net/detail/BIM-504519
American Medical Association (AMA)
Smith, David S.& Gore, John C.& Yankeelov, Thomas E.& Welch, E. Brian. Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods. International Journal of Biomedical Imaging. 2012. Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-504519
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504519