Accelerating SENSE using compressed sensing

Magnetic Resonance in Medicine

Volumn 62, Issue 6, 2009, Pages 1574-1584

  Liang, Dong ^a   Liu, Bo ^a,b   Wang, Jiunjie ^c   Ying, Leslie ^a  

^a University of Wisconsin Milwaukee   (United States)

^b GE HEALTHCARE   (United States)

^c CHANG GUNG UNIVERSITY   (Taiwan)

Author keywords

Compressed sensing; CS SENSE; SENSE; Sparse SENSE; SparseMRI

Indexed keywords

MAGNETIC RESONANCE IMAGING;

CARTESIAN TRAJECTORY; COMPRESSIVE SENSING; IN-VIVO EXPERIMENTS; REDUCTION FACTOR; SENSE; SENSITIVITY ENCODING; SPARSE-SENSE; SPARSEMRI;

COMPRESSED SENSING;

ARTICLE; ARTIFACT; DIAGNOSTIC ERROR; HUMAN; IMAGE QUALITY; IMAGE RECONSTRUCTION; IN VIVO STUDY; INTERMETHOD COMPARISON; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHANTOM; SENSITIVITY ANALYSIS; SIGNAL NOISE RATIO; SIMULATION;

EID: 73149123165     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22161     Document Type: Article

References (41)

1. Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P. SENSE: sensitivity encoding for fast MRI. Magn Reson Med 1999;42:952-962.
2. Sodickson DK, Manning WJ. Simultaneous acquisition of spatial harmonics (SMASH): fast imaging with radiofrequency channel arrays. Magn Reson Med 1997;38:591-603.
3. Griswold MA, Jakob PM, Heidemann RM, Nittka M, Jellus V, Wang J, Kiefer B, Haase A. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med 2002;47:1202-1210.
4. 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.
5. Donoho D. Compressed sensing. IEEE Trans Inf Theory 2006;52:1289-1306.
6. Candès EJ, Romberg J. Sparsity and incoherence in compressed sampling. Inverse Problems 2007;23:969-985.
7. Candès EJ, Wakin M. An introduction to compressive sampling. IEEE Signal Processing Magazine 2008;25:21-30.
8. Candès EJ, Romberg J, Tao T. Stable signal recovery from incomplete and inaccurate measurements. Commun Pure Appl Math 2006;59: 1207-1223. 9. Haupt J, Nowak R. Signal reconstruction from noisy random projections. IEEE Trans Inf Theory 2006;52:4036-4048.
9. Lustig M, Donoho DL, Pauly JM. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 2007;58:1182-1195.
10. Block KT, Uecker M, Frahm J. Undersampled radial MRI with multiple channels: iterative image reconstruction using a total variation constraint Magn Reson Med 2007;57:1086-1098.
11. Ye JC, Tak S, Han YJ, Park HW. Projection reconstruction MR imaging using FOCUSS. Magn Reson Med 2007;57:764-775.
12. Liu B, Sebert FM, Zou Y, Ying L. SparseSENSE: randomly-sampled parallel imaging using compressed sensing. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, 2008. p 3154.
13. Zhao C, Lang T, Ji J. Compressed sensing parallel imaging. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, 2008. p 1478.
14. 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.
15. King KF. Combining compressed sensing and parallel imaging. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, 2008. p 1488.
16. Liang D, Liu B, Ying L. Accelerating sensitivity encoding using compressed sensing. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, 2008. p 1667-1670.
17. Pruessmann KP, Weiger M, Börnert P. Advances in sensitivity encoding with arbitrary k-space trajectories. Magn Reson Med 2001;46:638-651.
18. Lustig M, Donoho DL, Santos JM, Pauly JM. Compressed Sensing MRI. IEEE Signal Processing Magazine 2008;25:72-82.
19. Radin L, Osher S, Fatemi E. Non-linear total variation noise removal algorithm. Phys D 1992;60:259-268.
20. Hoge WS, Brooks DH, Madore B, Kyriakos WE. A tour of accelerated parallel MR imaging from a linear systems perspective. Concepts Magn Reson Part A 2005;27A:17-37.
21. Ying L, Sheng J. Joint image reconstruction and sensitivity estimation in SENSE (JSENSE). Magn Reson Med 2007;57:1196-1202.
22. Ulaby FT. Fundamentals of applied electromagnetics. 5th edition. Prentice Hall; 2006.
23. Bernstein MA, King KF, Zhou X-H. Handbook of MRI pulse sequence. Academic Press; 2004.
24. Madore B. Unfold-SENSE: a parallel MRI method with self-calibration and artifact suppression. Magn Reson Med 2004;52:310-320.
25. Ying L, Liu B, Steckner MK, Wu G, Wu M, Li S-J. A statistical approach to SENSE regularization with arbitrary trajectories. Magn Reson Med 2008;60:414-421.
26. Marinelli L, Hardy CJ, Blezek DJ. MRI with accelerated multi-channel compressed sensing. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, 2008. p 1484.
27. Daubechies I. Ten lectures on wavelets. Philadelphia: Siam Press; 1992.
28. Hansen MS, Atkinson D, Sorensen TS. Cartesian SENSE and k-t SENSE reconstruction using commodity graphics hardware. Magn Reson Med 2008;59:463-468.
29. Chartrand R. Exact reconstruction of sparse signals via nonconvex minimization. IEEE Signal Processing Lett 2007;14:707-710.
30. Fischer A, Breuer F, Blaimer M, Seiberlich N, Jakob PM. Introduction of a nonconvex compressed sensing algorithm for MR imaging. In: Proceedings of the 16th Annual Meeting of ISMRM, Toronto, 2008. p 1487.
31. o-minimization. IEEE Trans Med Imaging 2009;28:106-121.
32. Duarte MF, Wakin MB, Baron D, Baraniuk RG. Universal distributed sensing via random projections. In: ACM/IEEE International Conference on Information Processing in Sensor Networks, 2006. p 177-185.
33. Cotter SF, Rao BD, Engan K, Kreutz-Delgado K. Sparse solutions to linear inverse problems with multiple measurement vectors. IEEE Trans Signal Processing 2005;53:2477-2488.
34. Tropp JA, Gilbert AC, Strauss MJ. Algorithms for simultaneous sparse approximation, part I: greedy pursuit. Signal Processing 2006;86:572-588.
35. Tropp JA, Gilbert AC, Strauss MJ. Algorithms for simultaneous sparse approximation, part II: convex relaxation. Signal Processing 2006;86: 589-602.
36. Liang D, King KF, Liu B, Ying L. Accelerated parallel MRI using M-FOCUSS. In: ISMRM Workshop on Data Sampling and Image Reconstruction, 2009.
37. Liang D, King KF, Liu B, Ying L. Accelerated SENSE using distributed compressed sensing. In: Proceedings of the 17th Annual Meeting of ISMRM, Honolulu, 2009.
38. Lin F-H, Kwong KK, Belliveau JW, Wald LL. Parallel imaging reconstruction using automatic regularization. Magn Reson Med 2004;51: 559-567.
39. Ying L, Xu D, Liang Z-P. On Tikhonov regularization for image reconstruction in parallel MRI. In: Proceedings of the 26th Annual International Conference of the IEEE EMBS, San Francisco, 2004. p 1056-1059.
40. King KF. SENSE image quality improvement using matrix regularization. In: Proceedings of the 9th Annual Meeting of the ISMRM, Glasgow, Scotland, 20091. p. 1771.
41. Liang Z-P, Bammer R, J. J, Pelc N, Glover G. Making better SENSE: wavelet de-noising, Tikhonov regularization, and total-least squares. In: Proceedings of the 10th Annual Meeting of the ISMRM, Honolulu, HI, 20902. p. 2388.