The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Image reconstruction from highly undersampled (k,t)-space data with joint partial separability and sparsity constraints
Open accessAbstract
Partial separability (PS) and sparsity have been previously used to enable reconstruction of dynamic images from undersampled (k,t)-space data. This paper presents a new method to use PS and sparsity constraints jointly for enhanced performance in this context. The proposed method combines the complementary advantages of PS and sparsity constraints using a unified formulation, achieving significantly better reconstruction performance than using either of these constraints individually. A globally convergent computational algorithm is described to efficiently solve the underlying optimization problem. Reconstruction results from simulated and in vivo cardiac MRI data are also shown to illustrate the performance of the proposed method.
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Cites
Donoho, D. L. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.871582 · Cited by 23,994
Donoho, D. L. (2004) · Cited by 16,703
Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., & Stanley, H. E. (2000) · Circulation · doi:10.1161/01.cir.101.23.e215 · Cited by 14,809
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
Beck, A., & Teboulle, M. (2009) · SIAM Journal on Imaging Sciences · doi:10.1137/080716542 · Cited by 11,952
De-noising by soft-thresholding
Donoho, D. L. (1995) · IEEE Transactions on Information Theory · doi:10.1109/18.382009 · Cited by 9,619
Decoding by Linear Programming
Candes, E. J., & Tao, T. (2005) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.858979 · Cited by 7,121
Trefethen, L. N., & Bau, III (1997) · doi:10.1137/1.9780898719574 · Cited by 3,301
Weik, M. H. (2000) · Computer Science and Communications Dictionary · doi:10.1007/1-4020-0613-6_12436 · Cited by 2,570
Computational Methods for Inverse Problems
Vogel, C. R. (2002) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9780898717570 · Cited by 2,370
A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
Wang, Y., Yang, J., Yin, W., & Zhang, Y. (2008) · SIAM Journal on Imaging Sciences · doi:10.1137/080724265 · Cited by 1,975
Cited by
Wang, N., Gaddam, S., Wang, L., Xie, Y., Fan, Z., Yang, W., Tuli, R., Lo, S., Hendifar, A., Pandol, S., et al. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28167 · Cited by 21
Self-citation
Metadata
- Authors
- Zhao, B., Haldar, J. P., Christodoulou, A. G., & Liang, Z.-P.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2012-09
- Volume
- 31
- Issue
- 9
- Pages
- 1809-1820
- ISSN
- 0278-0062 (ISSN-L)
- 1558-254X
- OpenAlex
- W2008257035
- Cited by
- 295
- References
- 47
- FWCI
- 14.24
- Type
- journal article
- Language
- en
- Open access
- green
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- Zhao, B., Haldar, J. P., Christodoulou, A. G., & Liang, Z.-P. (2012). Image reconstruction from highly undersampled (k,t)-space data with joint partial separability and sparsity constraints. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/tmi.2012.2203921
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