Wavelet-based denoising for 3D OCT images

Vladimir Zlokolica; Ljubomir Jovanov; Aleksandra Pižurica; Paul De Keyser; Frans Dhaenens; Wilfried Philips

doi:10.1117/12.734286

8 October 2007 Wavelet-based denoising for 3D OCT images

Vladimir Zlokolica, Ljubomir Jovanov, Aleksandra Pižurica, Paul De Keyser, Frans Dhaenens, Wilfried Philips

Proceedings Volume 6696, Applications of Digital Image Processing XXX; 66960P (2007) https://doi.org/10.1117/12.734286
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

Optical coherence tomography produces high resolution medical images based on spatial and temporal coherence of the optical waves backscattered from the scanned tissue. However, the same coherence introduces speckle noise as well; this degrades the quality of acquired images. In this paper we propose a technique for noise reduction of 3D OCT images, where the 3D volume is considered as a sequence of 2D images, i.e., 2D slices in depth-lateral projection plane. In the proposed method we first perform recursive temporal filtering through the estimated motion trajectory between the 2D slices using noise-robust motion estimation/compensation scheme previously proposed for video denoising. The temporal filtering scheme reduces the noise level and adapts the motion compensation on it. Subsequently, we apply a spatial filter for speckle reduction in order to remove the remainder of noise in the 2D slices. In this scheme the spatial (2D) speckle-nature of noise in OCT is modeled and used for spatially adaptive denoising. Both the temporal and the spatial filter are wavelet-based techniques, where for the temporal filter two resolution scales are used and for the spatial one four resolution scales. The evaluation of the proposed denoising approach is done on demodulated 3D OCT images on different sources and of different resolution. For optimizing the parameters for best denoising performance fantom OCT images were used. The denoising performance of the proposed method was measured in terms of SNR, edge sharpness preservation and contrast-to-noise ratio. A comparison was made to the state-of-the-art methods for noise reduction in 2D OCT images, where the proposed approach showed to be advantageous in terms of both objective and subjective quality measures.

Citation Download Citation

Vladimir Zlokolica, Ljubomir Jovanov, Aleksandra Pižurica, Paul De Keyser, Frans Dhaenens, and Wilfried Philips "Wavelet-based denoising for 3D OCT images", Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960P (8 October 2007); https://doi.org/10.1117/12.734286

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available