Speckle reduction in optical coherence tomography images using digital filtering

Aydogan Ozcan; Alberto Bilenca; Adrien E. Desjardins; Brett E. Bouma; Guillermo J. Tearney

doi:10.1364/JOSAA.24.001901

Speckle reduction in optical coherence tomography images using digital filtering

Aydogan Ozcan, Alberto Bilenca, Adrien E. Desjardins, Brett E. Bouma, Guillermo J. Tearney

Research output: Contribution to journal › Article › peer-review

252 Scopus citations

Abstract

Speckle noise is a ubiquitous artifact that limits the interpretation of optical coherence tomography images. Here we apply various speckle-reduction digital filters to optical coherence tomography images and compare their performance. Our results indicate that shift-invariant, nonorthogonal wavelet-transform-based filters together with enhanced Lee and adaptive Wiener filters can significantly reduce speckle and increase the signal-to-noise ratio, while preserving strong edges. The speckle reduction capabilities of these filters are also compared with speckle reduction from incoherent angular compounding. Our results suggest that by using these digital filters, the number of individual angles required to attain a certain level of speckle reduction can be decreased.

Original language	English
Pages (from-to)	1901-1910
Number of pages	10
Journal	Journal of the Optical Society of America A: Optics and Image Science, and Vision
Volume	24
Issue number	7
DOIs	https://doi.org/10.1364/JOSAA.24.001901
State	Published - 1 Jan 2007
Externally published	Yes

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Computer Vision and Pattern Recognition

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10.1364/JOSAA.24.001901

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title = "Speckle reduction in optical coherence tomography images using digital filtering",

abstract = "Speckle noise is a ubiquitous artifact that limits the interpretation of optical coherence tomography images. Here we apply various speckle-reduction digital filters to optical coherence tomography images and compare their performance. Our results indicate that shift-invariant, nonorthogonal wavelet-transform-based filters together with enhanced Lee and adaptive Wiener filters can significantly reduce speckle and increase the signal-to-noise ratio, while preserving strong edges. The speckle reduction capabilities of these filters are also compared with speckle reduction from incoherent angular compounding. Our results suggest that by using these digital filters, the number of individual angles required to attain a certain level of speckle reduction can be decreased.",

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AU - Ozcan, Aydogan

AU - Bilenca, Alberto

AU - Desjardins, Adrien E.

AU - Bouma, Brett E.

AU - Tearney, Guillermo J.

PY - 2007/1/1

Y1 - 2007/1/1

N2 - Speckle noise is a ubiquitous artifact that limits the interpretation of optical coherence tomography images. Here we apply various speckle-reduction digital filters to optical coherence tomography images and compare their performance. Our results indicate that shift-invariant, nonorthogonal wavelet-transform-based filters together with enhanced Lee and adaptive Wiener filters can significantly reduce speckle and increase the signal-to-noise ratio, while preserving strong edges. The speckle reduction capabilities of these filters are also compared with speckle reduction from incoherent angular compounding. Our results suggest that by using these digital filters, the number of individual angles required to attain a certain level of speckle reduction can be decreased.

AB - Speckle noise is a ubiquitous artifact that limits the interpretation of optical coherence tomography images. Here we apply various speckle-reduction digital filters to optical coherence tomography images and compare their performance. Our results indicate that shift-invariant, nonorthogonal wavelet-transform-based filters together with enhanced Lee and adaptive Wiener filters can significantly reduce speckle and increase the signal-to-noise ratio, while preserving strong edges. The speckle reduction capabilities of these filters are also compared with speckle reduction from incoherent angular compounding. Our results suggest that by using these digital filters, the number of individual angles required to attain a certain level of speckle reduction can be decreased.

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Speckle reduction in optical coherence tomography images using digital filtering

Abstract

ASJC Scopus subject areas

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