Cardiac Cine MRI using compressive sensing principles

2010 17th Iranian Conference of Biomedical Engineering, ICBME 2010 - Proceedings

Volumn , Issue , 2010, Pages

  Zamani, Pooria ^a   Kayvanrad, Mohammad H ^b   Soltanian Zadeh, Hamid ^a,c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b ROBARTS RESEARCH INSTITUTE   (Canada)

^c HENRY FORD HEALTH SYSTEM   (United States)

Author keywords

Cine cardiac MRI; Compressive sensing; Fuzzy c mean; HMM; Inverse problems

Indexed keywords

CARDIAC MRI; CINE-MRI; CLASS LABELS; COMPRESSIVE SENSING; DYNAMIC MRI; FUZZY C-MEAN; FUZZY C-MEANS; HMM; ITERATIVE THRESHOLDING; K-SPACE; MARKOV CHAIN; MR IMAGES; SAMPLE DATA; SENSING PRINCIPLE; SPACE DATA; STATISTICAL FEATURES; TRANSITION MATRICES;

BIOMEDICAL ENGINEERING; DIFFERENTIAL EQUATIONS; FUZZY CLUSTERING; FUZZY SYSTEMS; HEART; HIDDEN MARKOV MODELS; SIGNAL RECONSTRUCTION;

INVERSE PROBLEMS;

EID: 79951747055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBME.2010.5704948     Document Type: Conference Paper

References (16)

1. J. Tsao, P. Boesiger, and K. P. Pruessmann, "k-t blast and k-t sense: Dynamic mri with high frame rate exploiting spatiotemporal correlations," Magn Reson Med, vol. 50, no. 5, pp. 1031-1042, 2003. (Pubitemid 37356583)
2. D. Sodickson and W. Manning, "Simultaneous acquisition of spatial harmonics (smash): Fast imaging with radiofrequency coil arrays," Magn Reson Med, vol. 38, no. 4, pp. 591-603, 1997. (Pubitemid 27419224)
3. K. Pruessmann, M. Weiger, M. Scheidegger, and P. Boesiger, "Sense: Sensitivity encoding for fast mri," Magn Reson Med, vol. 42, no. 5, pp. 952-962, 1999. (Pubitemid 29521486)
4. B. Madore, G. Glover, and N. Pelc, "Unaliasing by fourier-encoding the overlaps using the temporal dimension (unfold), applied to cardiac imaging and fmri," Magn Reson Med, 1999.
5. E. Candes, J. Romberg, and T. Tao, "Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information," IEEE Trans. Inf Theory, vol. 52, pp. 489-509, 2006. (Pubitemid 43174093)
6. D. Donoho, "Compressed sensing," IEEE Trans. Inf Theory, pp. 1289-1306, 2006.
7. M.H. Kayvanrad, "Reconstruction from Random measurements," Proceedings of the 9th International Conference on Signal Processing, Beijing, China, 2008, pp. 2697-2701.
8. M.H. Kayvanrad, D. Zonoobi, A.A. Kassim, "Modified Papoulis- Gerchberg algorithm for sparse srecovery," Preprint, 2009.
9. M. Duarto, M. Wakin, and R. Baraniuk, "Wavelet-domain compressive signal reconstruction using a hidden tree model," in ICASSP, Las Vegas, NV, USA, Mar-Apr 2008, pp. 5173-5140.
10. R. Duda, P. Hart, and D. Stork, Pattern Classification, 2nd ed. Wiley- Interscience, 2000, isbn:0471056693.
11. I. Daubechies, M. Defrise, C. D. Mol, "An Iterative Thresholding Algorithm for Linear Inverse Problems with a Sparsity Constraint," Communications on Pure and Applied Mathematics, vol.57, pp.1413-1457, 2004. (Pubitemid 39427442)
12. M. Lustig, "Sparse mri," Ph.D. dissertation, Dept. Of Electrical Engineering, Stanford University, Sep 2008.
13. H. Jung, K. H. Sung, K. S. Nayak, E. Y. Kim, and J. C. Ye, "k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI," Magn Reson Med, vol. 61, pp. 103-116, 2009.
14. P. Zamani, H. Soltanian-Zadeh," Reconstruction of Undersampled Cardiac Cine MRI data Using Compressive Sensing Principles," Proceeding of SPARS'09, Saint-Malo, France, April 2009.
15. D. Baron, M. Duarte, S. Sarvotham, M. Wakin, and R. Baraniuk, "Distributed compressed sensing," Rice University, Tech. Rep. TREE0612, Nov 2006.
16. Sh. Ji, Y. Xue, L. Carin, "Bayesian Compressive Sensing", Preprint, 2007.