Speckle reduction process based on digital filtering and wavelet compounding in optical coherence tomography for dermatology

Juan J. Gómez Valverde; Juan E. Ortuño; Pedro Guerra; Boris Hermann; Behrooz Zabihian; José L. Rubio-Guivernau; Andrés Santos; Wolfgang Drexler; Maria J. Ledesma-Carbayo

doi:10.1117/12.2183815

22 July 2015 Speckle reduction process based on digital filtering and wavelet compounding in optical coherence tomography for dermatology

Juan J. Gómez Valverde, Juan E. Ortuño , Pedro Guerra , Boris Hermann, Behrooz Zabihian, José L. Rubio-Guivernau, Andrés Santos, Wolfgang Drexler, Maria J. Ledesma-Carbayo

Author Affiliations +

Proceedings Volume 9541, Optical Coherence Imaging Techniques and Imaging in Scattering Media; 95411K (2015) https://doi.org/10.1117/12.2183815
Event: European Conferences on Biomedical Optics, 2015, Munich, Germany

Abstract

Optical Coherence Tomography (OCT) has shown a great potential as a complementary imaging tool in the diagnosis of skin diseases. Speckle noise is the most prominent artifact present in OCT images and could limit the interpretation and detection capabilities. In this work we propose a new speckle reduction process and compare it with various denoising filters with high edge-preserving potential, using several sets of dermatological OCT B-scans. To validate the performance we used a custom-designed spectral domain OCT and two different data set groups. The first group consisted in five datasets of a single B-scan captured N times (with N<20), the second were five 3D volumes of 25 Bscans. As quality metrics we used signal to noise (SNR), contrast to noise (CNR) and equivalent number of looks (ENL) ratios. Our results show that a process based on a combination of a 2D enhanced sigma digital filter and a wavelet compounding method achieves the best results in terms of the improvement of the quality metrics. In the first group of individual B-scans we achieved improvements in SNR, CNR and ENL of 16.87 dB, 2.19 and 328 respectively; for the 3D volume datasets the improvements were 15.65 dB, 3.44 and 1148. Our results suggest that the proposed enhancement process may significantly reduce speckle, increasing SNR, CNR and ENL and reducing the number of extra acquisitions of the same frame.

Citation Download Citation

Juan J. Gómez Valverde, Juan E. Ortuño , Pedro Guerra , Boris Hermann, Behrooz Zabihian, José L. Rubio-Guivernau, Andrés Santos, Wolfgang Drexler, and Maria J. Ledesma-Carbayo "Speckle reduction process based on digital filtering and wavelet compounding in optical coherence tomography for dermatology", Proc. SPIE 9541, Optical Coherence Imaging Techniques and Imaging in Scattering Media, 95411K (22 July 2015); https://doi.org/10.1117/12.2183815

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Optical coherence tomography

Speckle

Signal to noise ratio

Digital filtering

Wavelets

Denoising

Image filtering

Show All Keywords

Keywords/Phrases

Search In:

Publication Years