Research Papers: Imaging

Wavelet domain compounding for speckle reduction in optical coherence tomography

[+] Author Affiliations
Jianbing Xu, Po Ching Chui, Edmund Y. Lam, Kenneth K. Y. Wong

The University of Hong Kong, Department of Electrical and Electronic Engineering, Pokfulam Road, Hong Kong, China

Haiyan Ou

The University of Hong Kong, Department of Electrical and Electronic Engineering, Pokfulam Road, Hong Kong, China

University of Electronic Science and Technology of China, Institute of Applied Physics, Chengdu 610054, China

Cuiru Sun

Ryerson University, Biophotonics and Bioengineering Laboratory, Victoria Street, Toronto, Ontario M5B 2K3, Canada

University of Toronto, Department of Medicine, College Street, Toronto, Ontario M5B 1WB, Canada

Victor X. D. Yang

Ryerson University, Biophotonics and Bioengineering Laboratory, Victoria Street, Toronto, Ontario M5B 2K3, Canada

Sunnybrook Health Science Center, Division of Neurosurgery, Bayview Avenue, Toronto, Ontario M4N 3M5, Canada

J. Biomed. Opt. 18(9), 096002 (Sep 03, 2013). doi:10.1117/1.JBO.18.9.096002
History: Received May 6, 2013; Revised July 15, 2013; Accepted August 1, 2013
Text Size: A A A

Abstract.  Visibility of optical coherence tomography (OCT) images can be severely degraded by speckle noise. A computationally efficient despeckling approach that strongly reduces the speckle noise is reported. It is based on discrete wavelet transform (DWT), but eliminates the conventional process of threshold estimation. By decomposing an image into different levels, a set of sub-band images are generated, where speckle noise is additive. These sub-band images can be compounded to suppress the additive speckle noise, as DWT coefficients resulting from speckle noise tend to be approximately decorrelated. The final despeckled image is reconstructed by taking the inverse wavelet transform of the new compounded sub-band images. The performance of speckle reduction and edge preservation is controlled by a single parameter: the level of wavelet decomposition. The proposed technique is applied to intravascular OCT imaging of porcine carotid arterial wall and ophthalmic OCT images. Results demonstrate the effectiveness of this technique for speckle noise reduction and simultaneous edge preservation. The presented method is fast and easy to implement and to improve the quality of OCT images.

Figures in this Article
© 2013 Society of Photo-Optical Instrumentation Engineers

Citation

Jianbing Xu ; Haiyan Ou ; Cuiru Sun ; Po Ching Chui ; Victor X. D. Yang, et al.
"Wavelet domain compounding for speckle reduction in optical coherence tomography", J. Biomed. Opt. 18(9), 096002 (Sep 03, 2013). ; http://dx.doi.org/10.1117/1.JBO.18.9.096002


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

PubMed Articles
Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.