Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3D Complex Wavelet Domain
Joint Authors
Abramoff, Michael D.
Sonka, Milan
Rabbani, Hossein
Source
International Journal of Biomedical Imaging
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-10
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
In this paper, MMSE estimator is employed for noise-free 3D OCT data recovery in 3D complex wavelet domain.
Since the proposed distribution for noise-free data plays a key role in the performance of MMSE estimator, a priori distribution for the pdf of noise-free 3D complex wavelet coefficients is proposed which is able to model the main statistical properties of wavelets.
We model the coefficients with a mixture of two bivariate Gaussian pdfs with local parameters which are able to capture the heavy-tailed property and inter- and intrascale dependencies of coefficients.
In addition, based on the special structure of OCT images, we use an anisotropic windowing procedure for local parameters estimation that results in visual quality improvement.
On this base, several OCT despeckling algorithms are obtained based on using Gaussian/two-sided Rayleigh noise distribution and homomorphic/nonhomomorphic model.
In order to evaluate the performance of the proposed algorithm, we use 156 selected ROIs from 650 × 512 × 128 OCT dataset in the presence of wet AMD pathology.
Our simulations show that the best MMSE estimator using local bivariate mixture prior is for the nonhomomorphic model in the presence of Gaussian noise which results in an improvement of 7.8 ± 1.7 in CNR.
American Psychological Association (APA)
Rabbani, Hossein& Sonka, Milan& Abramoff, Michael D.. 2013. Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3D Complex Wavelet Domain. International Journal of Biomedical Imaging،Vol. 2013, no. 2013, pp.1-23.
https://search.emarefa.net/detail/BIM-470546
Modern Language Association (MLA)
Rabbani, Hossein…[et al.]. Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3D Complex Wavelet Domain. International Journal of Biomedical Imaging No. 2013 (2013), pp.1-23.
https://search.emarefa.net/detail/BIM-470546
American Medical Association (AMA)
Rabbani, Hossein& Sonka, Milan& Abramoff, Michael D.. Optical Coherence Tomography Noise Reduction Using Anisotropic Local Bivariate Gaussian Mixture Prior in 3D Complex Wavelet Domain. International Journal of Biomedical Imaging. 2013. Vol. 2013, no. 2013, pp.1-23.
https://search.emarefa.net/detail/BIM-470546
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470546