Compressed sensing MRI with multichannel data using multicore processors

Magnetic Resonance in Medicine

Volumn 64, Issue 4, 2010, Pages 1135-1139

  Chang, Ching Hua ^a   Ji, Jim ^a  

^a Department of Electrical and Computer Engineering   (United States)

Author keywords

Array coils; Compressed sensing; Image reconstruction; Multicore processors; Parallel computing

Indexed keywords

IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; MAGNETIC RESONANCE IMAGING; PARALLEL PROCESSING SYSTEMS; PROGRAM PROCESSORS;

ARRAY COILS; COMPRESSIVE SENSING; MULTI-CORE PROCESSOR; MULTICHANNEL SYSTEM; MULTIPLE CHANNELS; PARALLEL COMPUTATION; RECONSTRUCTION EFFICIENCY; RECONSTRUCTION PROCEDURE;

COMPRESSED SENSING;

ALGORITHM; ARTICLE; CALCULATION; COMPRESSED SENSING; HUMAN; IMAGE QUALITY; IMAGE RECONSTRUCTION; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PROCESS TECHNOLOGY; PROCESSING; SIMULATION; SYSTEM ANALYSIS; THREE DIMENSIONAL IMAGING;

EID: 77957294832     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22481     Document Type: Article

References (20)

1. Candès EJ, Romberg J, Tao T. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory 2006;52:489-509.
2. Candès EJ, Romberg JK, Tao T. Stable signal recovery from incomplete and inaccurate measurements. Commun Pure Appl Math 2006;59:1207-1223.
3. Donoho D. Compressed sensing. IEEE Trans Inf Theory 2006;52:1289-1306.
4. Lustig M, Donoho D, Pauly JM. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 2007;58:1182-1195.
5. Roemer P, Edelstein W, Hayes C, Souza S, Mueller O. The NMR phased array. Magn Reson Med 1990;16:192-225.
6. Wright S, Wald L. Theory and application of array coils in MR spectroscopy. NMR Biomed 1997;10:394-410.
7. King K. Combining compressed sensing and parallel imaging. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, 2008. p 1488.
8. Wu B, Millane RP, Watts R, Bones P. Applying compressed sensing in parallel MRI. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, 2008. p 1480.
9. Liu B, Sebert FM, Zou Y, Ying L. Sparse SENSE: randomly-sampled parallel imaging using compressed sensing. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, 2008. p 3154.
10. Zhao C, Lang T, Ji J. Compressed sensing parallel imaging. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, 2008. p 1478.
11. Marinelli L, Hardy CJ, Blezek DJ. MRI with accelerated multi-coil compressed sensing. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, 2008. p 1484.
12. Liang D, Liu B, Ying L. Accelerating sensitivity encoding using compressed sensing. In: Proceedings of the IEEE Engineering Medicine Biology Society, Vancouver, 2008. p 1667-1670.
13. Liang D, Liu B, Wang J, Ying L. Accelerating SENSE using compressed sensing. Magn Reson Med 2009;62:1574-1584.
14. Wiggers W, Bakker V, Kokkeler A, Smit G. Implementing the conjugate gradient algorithm on multi-core systems. In: Proceedings of the IEEE International Symposium on System-on-Chip, Tampere, Finland, 2007. p 1-4.
15. Borghi A, Darbon J, Peyronnet S, Chan T, Osher S. A simple compressive sensing algorithm for parallel many-core architectures. CAM Rep. 2008:08-64.
16. Stone S, Haldar J, Tsao S, Hwu W, Sutton B, Liang Z. Accelerating advanced MRI reconstructions on GPUs. J Parallel Distrib Comput 2008;68:1307-1318.
17. Knoll F, UngerM, Ebner F, Stollberger R. Real time elimination of undersampling artifacts using 3D total variation on graphics hardware. In: Proceedings of the 17th Annual Meeting of ISMRM, Hawaii, 2009. p 2838.
18. Chang C, Ji J. Compressed sensing MRI with multi-channel data using multi-core processors. In: Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, 2009. p 2684-2687.
19. Lustig M. SparseMRI V0.2, Available at: http://www.stanford.edu/~mlustig/ SparseMRI. html. Accessed February 1, 2010.
20. Kepner JV. Parallel MATLAB for multicore and multinode computers. Philadelphia: Society for Industrial and Applied Mathematics; 2009, 273 p.