Undersampled dynamic magnetic resonance imaging using patch-based spatiotemporal dictionaries

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2013, Pages 294-297

  Wang, Yanhua ^a   Zhou, Yihang ^a   Ying, Leslie ^a  

^a University at Buffalo The State University of New York   (United States)

Author keywords

compressed sensing; dictionary learning; dynamic magnetic resonance imaging; spatiotemporal dictionary

Indexed keywords

ALTERNATING OPTIMIZATIONS; DICTIONARY LEARNING; DYNAMIC IMAGES; DYNAMIC MAGNETIC RESONANCE IMAGING; IMAGING SPEED; SPARSENESS CONSTRAINTS; SPATIAL AND TEMPORAL RESOLUTIONS; UNDER-SAMPLED;

COMPRESSED SENSING; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

IMAGE RECONSTRUCTION;

EID: 84881627549     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2013.6556470     Document Type: Conference Paper

References (17)

1. J. Tsao and S. Kozerke, "MRI Temporal Acceleration Techniques," J. Magn. Reson. Imag., vol. 36, no. 3, pp. 543-560, 2012.
2. J. A. d'Arcy, D. J. Collins, I. J. Rowland, et al., "Applications of Sliding Window Reconstruction with Cartesian Sampling for Dynamic Contrast Enhanced MRI," NMR Biomed., vol. 15, no. 2, pp. 174-183, 2002. (Pubitemid 34213407)
3. 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)
4. M. Lustig, J. M. Santos, D. L. Donoho, et al., "k-t SPARSE: High Frame Rate Dynamic MRI Exploiting Spatiotemporal Sparsity," Proc. 14th ISMRM, pp. 2420, 2006.
5. U. Gamper, P. Boesiger and S. Kozerke, "Compressed Sensing in Dynamic MRI," Magn. Reson. Med., vol. 59, no. 2, pp. 365-373, 2008. (Pubitemid 351220100)
6. H. Jung, K. Sung, K. S. Nayak, et al., "k-t FOCUSS: A General Compressed Sensing Framework for High Resolution Dynamic MRI," Magn. Reson. Med., vol. 61, no. 1, pp. 103-116, 2009.
7. D. Liang, E.V.R. Dibella, R.R. Chen, et al., "k-t ISD: Dynamic Cardiac MR Imaging Using Compressed Sensing with Iterative Support Detection," Magn. Reson. Med., vol. 68, no. 1, pp. 41-53, 2012.
8. M. Elad and M. Aharon, "Image Denoising via Sparse and Redundant Representations over Learned Dictionaries," IEEE Trans. Image Process., vol. 15, no. 12, pp. 3736-3745, 2006. (Pubitemid 44811686)
9. M. Protter and M. Elad, "Image Sequence Denoising via Sparse and Redundant Representations," IEEE Trans. Image Process., vol. 18, no. 1, pp. 27-36, 2009.
10. I. Tošić and P. Frossard, "Dictionary Learning," IEEE Signal Process. Mag., vol. 28, no. 2, pp. 27-38, 2011.
11. X. Ye, Y. Chen, and F. Huang, "A Novel Method and Fast Algorithm for MR Image Reconstruction with Significantly Undersampled Data," Inverse Problems Imag., vol. 4, no. 2, pp. 223-240, 2010.
12. S. Ravishankar and Y. Bresler, "MR Image Reconstruction from Highly Undersampled k-Space Data by Dictionary Learning," IEEE Trans. Med. Imag., vol. 30, no. 5, pp. 1028-1040, 2011.
13. M. Doneva, P. Börnert, H. Eggers, et al., "Compressed Sensing Reconstruction for Magnetic Resonance Parameter Mapping," Magn. Reson. Med., vol. 64, no. 4, pp. 1114-1120, 2010.
14. S. G. Lingala and M. Jacob, "A Blind Compressive Sensing Framework for Accelerated Dynamic MRI," Proc. 9th IEEE Int. Symp. Biomed. Imag. (ISBI), Barcelona, pp. 1060-1063, 2012.
15. S. P. Awate and E.V.R. DiBella, "Spatiotemporal Dictionary Learning for Undersampled Dynamic MRI Reconstruction via Joint Frame-based and Dictionary-based Sparsity," Proc. 9th IEEE Int. Symp. Biomed. Imag. (ISBI), Barcelona, pp. 318-321, 2012.
16. M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation," IEEE Trans. Signal Process., vol. 54, no. 11, pp. 4311-4322, 2006. (Pubitemid 44637761)
17. T. Goldstein and S. Osher, "The Split Bregman Method for L1-Regularized Problems," SIAM J. Imag. Sci., vol. 2, no.2, pp. 323-343, 2009.