Spatiotemporal dictionary learning for undersampled dynamic MRI reconstruction via joint frame-based and dictionary-based sparsity

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2012, Pages 318-321

  Awate, Suyash P ^a   Dibella, Edward V R ^a  

^a UNIVERSITY OF UTAH   (United States)

Author keywords

compressed sensing; dictionary learning; dynamic MRI; Reconstruction; under sampling

Indexed keywords

COMPRESSIVE SENSING; DICTIONARY LEARNING; DYNAMIC IMAGES; DYNAMIC IMAGING; DYNAMIC MRI; LOW RANK; OVER-COMPLETE; RECONSTRUCTION METHOD; SPACE AND TIME; SPARSE REPRESENTATION; SPARSITY CONSTRAINTS; SPATIAL IMAGES; SPATIO-TEMPORAL DATA; UNDER-SAMPLING;

IMAGE RECONSTRUCTION;

MEDICAL IMAGING;

EID: 84864839815     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2012.6235548     Document Type: Conference Paper

References (10)

1. E. Candes and M. Wakin, "An introduction to compressive sampling," IEEE Sig. Proc. Mag., pp. 21-30, 2008.
2. R. Rubinstein, A. Bruckstein, and M. Elad, "Dictionaries for sparse representation modeling," Proc. IEEE, vol. 98, no. 6, pp. 1045-1057, 2010.
3. J. Haldar and Z. Liang, "Low rank approximations for dynamic imaging," in IEEE Int. Symp. Bio. Imag., 2011, pp. 1052-1055.
4. S. Ravishankar and Y. Bresler, "MR image reconstruction from highly undersampled k-space data by dictionary learning," IEEE Trans. Med. Imag., vol. 30, pp. 1028-1041, 2011.
5. D. Donoho, M. Elad, and V. Temlyakov, "Stable recovery of sparse overcomplete representations in the presence of noise," IEEE. Trans. Info. Theory, vol. 52, no. 1, pp. 6-18, 2006.
6. E. Candes, Y. Eldar, D. Needell, and P. Randall, "Compressed sensing with coherent and redundant dictionaries," Appl. and Comp. Harmonic Anal., vol. 31, no. 1, pp. 59-73, 2010.
7. T. Gonzalez, "Clustering to minimize the maximum intercluster distance," Theor. Comp. Sci., vol. 38, pp. 293-306, 1985.
8. D. Bertsekas, Nonlinear programming, Athena Scient., 2008.
9. S. P. Awate, E.V.R. DiBella, T. Tasdizen, and R. Whitaker, "Model-based image reconstruction for dynamic cardiac perfusion MRI from sparse data," in Proc. IEEE Eng. Med. Biol. Soc., 2006, pp. 936-41.
10. Y. Nesterov, "Smooth minimization of non-smooth functions," Math. Program., Ser. A, vol. 103, pp. 127-152, 2005.