The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.
Ultrasound Localization Microscopy and Super-Resolution: A State of the Art
Open accessAbstract
Because it drives the compromise between resolution and penetration, the diffraction limit has long represented an unreachable summit to conquer in ultrasound imaging. Within a few years after the introduction of optical localization microscopy, we proposed its acoustic alter ego that exploits the micrometric localization of microbubble contrast agents to reconstruct the finest vessels in the body in-depth. Various groups now working on the subject are optimizing the localization precision, microbubble separation, acquisition time, tracking, and velocimetry to improve the capacity of ultrasound localization microscopy (ULM) to detect and distinguish vessels much smaller than the wavelength. It has since been used in vivo in the brain, the kidney, and tumors. In the clinic, ULM is bound to improve drastically our vision of the microvasculature, which could revolutionize the diagnosis of cancer, arteriosclerosis, stroke, and diabetes.
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The Hungarian method for the assignment problem
Kuhn, H. W. (1955) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800020109 · Cited by 13,120
Negative Refraction Makes a Perfect Lens
Pendry, J. B. (2000) · Physical Review Letters · doi:10.1103/physrevlett.85.3966 · Cited by 12,159
Imaging Intracellular Fluorescent Proteins at Nanometer Resolution
Betzig, E., Patterson, G. H., Sougrat, R., Lindwasser, O. W., Olenych, S., Bonifacino, J. S., Davidson, M. W., Lippincott-Schwartz, J., & Hess, H. F. (2006) · Science · doi:10.1126/science.1127344 · Cited by 8,772
Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)
Rust, M. J., Bates, M., & Zhuang, X. (2006) · Nature Methods · doi:10.1038/nmeth929 · Cited by 8,078
Green fluorescent protein as a marker for gene expression
Chalfie, M., Tu, Y., Euskirchen, G., Ward, W. W., & Prasher, D. C. (1994) · Science · doi:10.1126/science.8303295 · Cited by 6,802
Hell, S. W., & Wichmann, J. (1994) · Optics Letters · doi:10.1364/ol.19.000780 · Cited by 6,065
Algorithms for the Assignment and Transportation Problems
Munkres, J. (1957) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0105003 · Cited by 3,986
Gustafsson, M. G. L. (2000) · Journal of Microscopy · doi:10.1046/j.1365-2818.2000.00710.x · Cited by 3,786
Ultra-High Resolution Imaging by Fluorescence Photoactivation Localization Microscopy
Hess, S. T., Girirajan, T. P. K., & Mason, M. D. (2006) · Biophysical Journal · doi:10.1529/biophysj.106.091116 · Cited by 3,605
Hell, S. W. (2007) · Science · doi:10.1126/science.1137395 · Cited by 2,967
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Deep learning in ultrasound imaging
van Sloun, R. J. G., Cohen, R., & Eldar, Y. C. (2020) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2932116 · Cited by 316
de Maar, J. S., Sofias, A. M., Porta Siegel, T., Vreeken, R. J., Moonen, C., Bos, C., & Deckers, R. (2020) · Theranostics · doi:10.7150/thno.38625 · Cited by 71
Metadata
- Authors
- Couture, O., Hingot, V., Heiles, B., Muleki-Seya, P., & Tanter, M.
- Venue
- IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
- Published
- 2018-08
- Volume
- 65
- Issue
- 8
- Pages
- 1304-1320
- ISSN
- 0885-3010 (ISSN-L)
- 1525-8955
- OpenAlex
- W2809883623
- Cited by
- 423
- References
- 92
- FWCI
- 10.00
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Couture, O., Hingot, V., Heiles, B., Muleki-Seya, P., & Tanter, M. (2018). Ultrasound Localization Microscopy and Super-Resolution: A State of the Art. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. https://doi.org/10.1109/tuffc.2018.2850811
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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.
