Optimal k-Space sampling in mrsi for images with a limited region of support

IEEE Transactions on Medical Imaging

Volumn 19, Issue 12, 2000, Pages 1168-1178

  Gao, Yun ^a   Reeves, Stanley J ^b  

^a WASHINGTON UNIVERSITY   (United States)

^b AUBURN UNIVERSITY   (United States)

Author keywords

K space; MRI; Sampling; Spectroscopic imaging

Indexed keywords

BIOMEDICAL ENGINEERING; COMPUTATION THEORY; MAGNETIC RESONANCE IMAGING; MAGNETIC RESONANCE SPECTROSCOPY; OPTIMIZATION;

NOISE AMPLIFICATIONS; SPECTROSCOPIC IMAGINGS;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY;

ALGORITHMS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE SPECTROSCOPY;

EID: 0034351116     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.897808     Document Type: Article

References (22)

1. S. J. Nelson, D. B. Vigneron, and W. P. DillonSerial evaluation of patients with brain tumors using volume MRI and 3D 1H MRSI, NMR Biomed., vol. 12, pp. 123-138, May 1999.
2. R. I. Kuzniecky, J. W. Hugg, H. P. Hetherington, E. Butterworth, E. Bilir, E. Faught, and F. GilliamRelative utility of Ih spectroscopic imaging and hippocampal volumetry in the lateralization of mesial temporal lobe epilepsy, Neurology, vol. 51, pp. 66-71, July 1998.
3. J. W. Hugg, K. D. Laxer, G. B. Maison, A. A. Maudsley, C. A. Husted, and M. W. WeinerLateralization of human focal epilepsy by 31p magnetic resonance spectroscopic imaging, Neurology, vol. 42, pp. 2011-2018, 1992.
4. F. Cendes, Z. Caramanos, F. Andermann, F. Dubeau, and D. L. ArnoldProton magnetic resonance spectroscopic imaging and magnetic resonance imaging volumetry in the lateralization of temporal lobe epilepsy: a series of 100 patients, A. Neural, vol. 42, pp. 737-746, 1997.
5. W. J. Chu, H. P. Hetherington, R. I. Kuzniecky, T. Simor, G. F. Mason, and G. A. ElgavishLateralization of human temporal lobe epilepsy by 31P NMR spectroscopic imaging at 4.1 T, Neurology, vol. 51, pp. 472-479, Aug. 1998.
6. X. Hu, D. N. Levin, P. C. Lauterbur, and T. A. SpragginsSLIM: Spectral localization by imaging, Mag. Reson. Med., vol. 8, pp. 314-322, 1988.
7. Z. Liang and P. C. LauterburA generalized series approach to MR spectroscopic imaging, IEEE Trans. Med. Imag., vol. 10, pp. 132-137, June 1991.
8. E. M. Stokely and D. B. TwiegFunctional image reconstruction enhancement (FIRE) for MR spectroscopic and nuclear medicine images, S PIE Med. Imag. VI, 1992.
9. M. von Kienlin and R. MejiaSpectral localization with optimal pointspread function, J. Magn. Reson., vol. 94, pp. 268-287, 1991.
10. Y. Cao and D. N. LevinUsing an image database to constrain the acquisition and reconstruction of MR images of the human head, IEEE Trans. Med. Imag., vol. 14, pp. 350-361, June 1995.
11. S. K. Plevritis and A. MacovskiAlternative k-space sampling distributions for MR spectroscopic imaging, in P roc. 1994 IEEE Int. Conf. Image Processing, vol. Ill, pp. 11-14.
12. R. Venkataramani and Y. BreslerFurther results on spectrum blind sampling of 2d signals, in P roc. 1998 IEEE Int. Conf. Image Processing, vol. II, 1998.
13. S. K. Nagle and D. N. LevinA new class of sampling theorems for Fourier imaging of multiple regions, in P roc. 1998 IEEE Int. Conf. Image Processing, vol. II, 1998.
14. Multiple region MRI, Magnetic Resonance in Medicine, to be published.
15. S. J. Reeves and L. P. HeckSelection of observations in signal reconstruction, IEEE Trans. Signal Processing, vol. 43, pp. 788-791, Mar. 1995.
16. S. J. ReevesSelection of k-space samples in localized spectroscopy of arbitrary volumes of interest, J. Magn. Reson. Imaging, vol. 5, pp. 245-247, Mar./Apr. 1995.
17. S. J. Reeves and Z. ZhaoSequential algorithms for observation selection, IEEE Trans. Signal Processing, vol. 47, pp. 123-132, Jan. 1999.
18. K. F. CheungAdvanced topics in Shannon sampling and interpolation theory, in A Multidimensional Extension of Papoulis ' Generalized Sampling Expansion with the Application in Minimum Density Sampling. New York: Springer-Verlag, 1993, pp. 85-119.
19. S. J. Reeves and L. P. HeckSelection of observations in signal reconstruction, in Proc. 1998 IEEE Int. Conf. Acoustics, Speech, and Signal Processing, vol. III, pp. 444-447.
20. G. H. Golub and C. Van Loan, Matrix Computations, 2nd ed. Baltimore, MD: Johns Hopkins Univ. Press, 1989.
21. R. L. Lagendijk, R. M. Mersereau, and J. BiemondOn increasing the convergence rate of regularized iterative image restoration algorithms, in Proc. 1987 lEEEInt. Conf. Acoustics, Speech, and Signal Processing, pp. 1183-1186.
22. C. W. HayesSelection of k-space samples for reconstruction in magnetic resonance spectroscopic imaging, master's thesis, Auburn Univ., Auburn, AL, 1997.