The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Compressed Sensing MRI
Abstract
This article reviews the requirements for successful compressed sensing (CS), describes their natural fit to MRI, and gives examples of four interesting applications of CS in MRI. The authors emphasize on an intuitive understanding of CS by describing the CS reconstruction as a process of interference cancellation. There is also an emphasis on the understanding of the driving factors in applications, including limitations imposed by MRI hardware, by the characteristics of different types of images, and by clinical concerns.
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Citations
Cites
Sparse MRI: The application of compressed sensing for rapid MR imaging
Lustig, M., Donoho, D., & Pauly, J. M. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21391 · Cited by 6,952
Self-citation
Cited by
A deep cascade of convolutional neural networks for dynamic MR image reconstruction
Schlemper, J., Caballero, J., Hajnal, J. V., Price, A. N., & Rueckert, D. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2760978 · Cited by 1,338
Yang, G., Yu, S., Dong, H., Slabaugh, G., Dragotti, P. L., Ye, X., Liu, F., Arridge, S., Keegan, J., Guo, Y., et al. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2785879 · Cited by 1,081
Compressive Sensing via Nonlocal Low-Rank Regularization
Dong, W., Shi, G., Li, X., Ma, Y., & Huang, F. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2329449 · Cited by 598
Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning
Sun, J., Yan, C., & Wen, J. (2018) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2017.2759418 · Cited by 422
Whole brain susceptibility mapping using compressed sensing
Wu, B., Li, W., Guidon, A., & Liu, C. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23000 · Cited by 417
Metadata
- Authors
- Lustig, M., Donoho, D. L., Santos, J. M., & Pauly, J. M.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2008-03
- Volume
- 25
- Issue
- 2
- Pages
- 72-82
- ISSN
- 1053-5888 (ISSN-L)
- OpenAlex
- W2029816571
- Cited by
- 2,246
- References
- 1
- FWCI
- 42.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lustig, M., Donoho, D. L., Santos, J. M., & Pauly, J. M. (2008). Compressed Sensing MRI. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2007.914728
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
