The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion
Abstract
This paper presents a novel approach for speckle reduction and coherence enhancement of ultrasound images based on nonlinear coherent diffusion (NCD) model. The proposed NCD model combines three different models. According to speckle extent and image anisotropy, the NCD model changes progressively from isotropic diffusion through anisotropic coherent diffusion to, finally, mean curvature motion. This structure maximally low-pass filters those parts of the image that correspond to fully developed speckle, while substantially preserving information associated with resolved-object structures. The proposed implementation algorithm utilizes an efficient discretization scheme that allows for real-time implementation on commercial systems. The theory and implementation of the new technique are presented and verified using phantom and clinical ultrasound images. In addition, the results from previous techniques are compared with the new method to demonstrate its performance.
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Citations
Cites
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Cited by
Ultrasound image segmentation: a survey
Noble, J. A., & Boukerroui, D. (2006) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2006.877092 · Cited by 1,157
Hong, G., Zou, Y., Antaris, A. L., Diao, S., Wu, D., Cheng, K., Zhang, X., Chen, C., Liu, B., He, Y., et al. (2014) · Nature Communications · doi:10.1038/ncomms5206 · Cited by 563
Oriented Speckle Reducing Anisotropic Diffusion
Krissian, K., Westin, C.-F., Kikinis, R., & Vosburgh, K. G. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2007.891803 · Cited by 377
Comparative evaluation of despeckle filtering in ultrasound imaging of the carotid artery
Loizou, C. P., Pattichis, C. S., Christodoulou, C. I., Istepanian, R. S. H., Pantziaris, M., & Nicolaides, A. (2005) · IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control · doi:10.1109/tuffc.2005.1561621 · Cited by 323
Automatic breast ultrasound image segmentation: a survey
Xian, M., Zhang, Y., Cheng, H. D., Xu, F., Zhang, B., & Ding, J. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2018.02.012 · Cited by 284
Metadata
- Authors
- Abd-Elmoniem, K. Z., Youssef, A.-B. M., & Kadah, Y. M.
- Venue
- IEEE Transactions on Biomedical Engineering
- Published
- 2002-09
- Volume
- 49
- Issue
- 9
- Pages
- 997-1014
- ISSN
- 0018-9294 (ISSN-L)
- OpenAlex
- W2068075086
- Cited by
- 403
- References
- 15
- FWCI
- 10.86
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
