The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Diffusion Weighted Image Denoising Using Overcomplete Local PCA
Open accessAbstract
Diffusion Weighted Images (DWI) normally shows a low Signal to Noise Ratio (SNR) due to the presence of noise from the measurement process that complicates and biases the estimation of quantitative diffusion parameters. In this paper, a new denoising methodology is proposed that takes into consideration the multicomponent nature of multi-directional DWI datasets such as those employed in diffusion imaging. This new filter reduces random noise in multicomponent DWI by locally shrinking less significant Principal Components using an overcomplete approach. The proposed method is compared with state-of-the-art methods using synthetic and real clinical MR images, showing improved performance in terms of denoising quality and estimation of diffusion parameters.
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Cites
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Manjón, J. V., Coupé, P., Martí‐Bonmatí, L., Collins, D. L., & Robles, M. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22003 · Cited by 1,082
Self-citationTwo-stage image denoising by principal component analysis with local pixel grouping
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Cited by
Denoising of diffusion MRI using random matrix theory
Veraart, J., Novikov, D. S., Christiaens, D., Ades-aron, B., Sijbers, J., & Fieremans, E. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.016 · Cited by 1,905
Diffusion MRI noise mapping using random matrix theory
Veraart, J., Fieremans, E., & Novikov, D. S. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26059 · Cited by 773
The sensitivity of diffusion MRI to microstructural properties and experimental factors
Afzali, M., Pieciak, T., Newman, S., Garyfallidis, E., Özarslan, E., Cheng, H., & Jones, D. K. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2020.108951 · Cited by 117
White matter alterations in early‐stage Alzheimer's disease: A tract‐specific study
Wen, Q., Mustafi, S. M., Li, J., Risacher, S. L., Tallman, E., Brown, S. A., West, J. D., Harezlak, J., Farlow, M. R., Unverzagt, F. W., et al. (2019) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2019.06.003 · Cited by 96
Tractography and machine learning: current state and open challenges
Poulin, P., Jörgens, D., Jodoin, P.-M., & Descoteaux, M. (2019) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2019.04.013 · Cited by 84
Metadata
- Authors
- Manjón, J. V., Coupé, P., Concha, L., Buades, A., Collins, D. L., & Robles, M.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-09-03
- Volume
- 8
- Issue
- 9
- Pages
- e73021
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2069494733
- Cited by
- 417
- References
- 45
- FWCI
- 15.98
- Type
- journal article
- Language
- en
- Open access
- gold
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- Manjón, J. V., Coupé, P., Concha, L., Buades, A., Collins, D. L., & Robles, M. (2013). Diffusion Weighted Image Denoising Using Overcomplete Local PCA. PLoS ONE. https://doi.org/10.1371/journal.pone.0073021
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