Compressed sensing for resolution enhancement of hyperpolarized 13C flyback 3D-MRSI

Journal of Magnetic Resonance

Volumn 192, Issue 2, 2008, Pages 258-264

  Hu, Simon ^a,b   Lustig, Michael ^c   Chen, Albert P ^a   Crane, Jason ^a   Kerr, Adam ^c   Kelley, Douglas A C ^d   Hurd, Ralph ^d   Kurhanewicz, John ^a,b   Nelson, Sarah J ^a,b   Pauly, John M ^c   Vigneron, Daniel B ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UCSF and UCB Joint Graduate Group in Bioengineering   (United States)

^c Stanford University   (United States)

^d GE HEALTHCARE   (United States)

Author keywords

Compressed sensing; DNP; Hyperpolarization; MRSI; Sparse

Indexed keywords

COMPRESSIBILITY OF LIQUIDS; PHASE NOISE; SIGNAL TO NOISE RATIO; SPIN POLARIZATION; TISSUE;

COMPRESSED SENSING; HYPERPOLARIZATION; HYPERPOLARIZATION TECHNIQUES; NUCLEAR SPINS;

METABOLITES;

CARBON;

ANIMAL; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE QUALITY; MALE; METABOLISM; METHODOLOGY; MOUSE; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PROSTATE TUMOR; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ANIMALS; CARBON ISOTOPES; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE SPECTROSCOPY; MALE; MICE; PHANTOMS, IMAGING; PROSTATIC NEOPLASMS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 43949109568     PISSN: 10907807     EISSN: 10960856     Source Type: Journal    
DOI: 10.1016/j.jmr.2008.03.003     Document Type: Article

References (30)

1. Ardenkjaer-Larsen J.H., Fridlund B., Gram A., Hansson G., Hansson L., Lerche M.H., Servin R., Thaning M., and Golman K. Increase in signal-to-noise ratio of >10,000 times in liquid-state NMR. Proc. Natl. Acad. Sci. USA 100 (2003) 10158-10163
2. Golman K., Ardenkjaer-Larsen J.H., Peterson J.S., Mansson S., and Leunbach I. Molecular imaging with endogenous substances. Proc. Natl. Acad. Sci. USA 100 (2003) 10435-10439
3. Golman K., Zandt R., and Thaning M. Real-time metabolic imaging. Proc. Natl. Acad. Sci. USA 103 (2006) 11270-11275
4. 13C-1-pyruvate. Magn. Reson. Med. 58 (2007) 65-69
5. Chen A.P., Albers M.J., Cunningham C.H., Kohler S.J., Yen Y., Hurd R.E., Tropp J., Bok R., Pauly J.M., Nelson S.J., Kurhanewicz J., and Vigneron D.B. Hyperpolarized C-13 spectroscopic imaging of the TRAMP mouse at 3 T - initial experience. Magn. Reson. Med. 58 (2007) 1099-1106
6. Candes E., Romberg J., and Tao T. Robust uncertainty principles: exact reconstruction from highly incomplete information. IEEE Trans. Inform. Theory 52 (2006) 489-509
7. Donoho D.L. Compressed sensing. IEEE Trans. Inform. Theory 52 (2006) 1289-1306
8. E. Candes, J. Romberg, Practical signal recovery from random projections, in: Wavelet Applications in Signal and Image Processing XI, Proc. SPIE Conf., 2004, p. 5914.
9. Tsaig Y., and Donoho D.L. Extensions of compressed sensing. Signal Process. 86 (2006) 549-571
10. Lustig M., Donoho D.L., and Pauly J.M. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn. Reson. Med. 58 (2007) 1182-1195
11. 13C imaging. Magn. Reson. Med. 56 (2006) 932-937
12. 13C metabolic imaging. Magn. Reson. Med. 58 (2007) 245-252
13. Cunningham C.H., Vigneron D.B., Chen A.P., Xu D., Nelson S.J., Hurd R.E., Kelley D.A., and Pauly J.M. Design of flyback echo-planar readout gradients for magnetic resonance spectroscopic imaging. Magn. Reson. Med. 54 (2005) 1286-1289
14. 13C. J. Magn. Reson. 187 (2007) 357-362
15. Gull S.F., and Daniell G.J. Image reconstruction from incomplete and noisy data. Nature 272 (1978) 686-690
16. Hoch J.C., and Stern A.C. Maximum entropy reconstruction in NMR. In: Grant D.M., and Harris R.K. (Eds). Encyclopedia of NMR (1996), John Wiley and Sons, New York 2980-2988
17. Newman R.H. Maximization of entropy and minimization of area as criteria for NMR signal processing. J. Magn. Reson. 79 (1988) 448-460
18. 1-norm reconstruction. J. Magn. Reson. 188 (2007) 295-300
19. M. Lustig, J.M. Santos, D.L. Donoho, J.M. Pauly, k-t Sparse: high frame rate dynamic MRI exploiting spatio-temporal sparsity, in: Proceedings of the International Society of Magnetic Resonance in Medicine, 2006, p. 2420.
20. Jung H., Ye J., and Kim E.Y. Improved k-t BLAST and k-t SENSE using FOCUSS. Phys. Med. Biol. 52 (2007) 3201-3226
21. Duyn J.H., Yang Y., Frank J.A., and van der Veen J.W. Simple correction method for k-space trajectory deviations in MRI. J. Magn. Reson. 132 (1998) 150-153
22. A. Kerr, J. Pauly, D. Nishimura, Eddy current characterization and compensation in spiral and echo-planar imaging, in: Proceedings of the International Society of Magnetic Resonance in Medicine, 1996, p. 364.
23. 129Xe MR. J. Magn. Reson. B 113 (1996) 179-183
24. Nelson S.J. Analysis of volume MRI and MR spectroscopic imaging data for the evaluation of patients with brain tumors. Magn. Reson. Med. 46 (2001) 228-239
25. Chen S., Donoho D.L., and Saunders M. Atomic decomposition by basis pursuit. SIAM J. Sci. Comput. 20 (1999) 33-61
26. Ahmed O.A. New denoising scheme for magnetic resonance spectroscopy signals. IEEE Trans. Med. Imaging 24 (2005) 809-816
27. Trbovic N., Dancea F., Langer T., and Gunther U. Using wavelet de-noised spectra in NMR screening. J. Magn. Reson. 173 (2005) 280-287
28. Dancea F., and Gunther U. Automated protein NMR structure determination using wavelet de-noised NOESY spectra. J. Biomol. NMR 33 (2005) 139-152
29. Candes E., Romberg J., and Tao T. Stable signal recovery from incomplete and inaccurate measurements. Commun. Pure Appl. Math. 59 (2006) 1207-1223
30. Haupt J., and Nowak R. Signal reconstruction from noisy random projections. IEEE Trans. Inform. Theory 52 (2006) 4036-4048