Abstract

We report on the quality assessment of an optical coherence tomography (OCT) image. A set of recent digital filters are used for denoising the interferometric signals. It is found that when a combination of continuous wavelet transform (WT) decomposition and the WT denoising techniques is imposed on raw signals, the highest signal-to-noise ratio of 17.8 can be reached. The structural similarity (SSIM) index is eventually employed to evaluate the modality of the reconstructed OCT image. Further, we found out that a SSIM value of about 0.95 can be reached, independent of the method used for envelope extraction.

© 2020 Optical Society of America

Polarization-sensitive optical coherence tomography for birefringence measurement of calcite nonlinear uniaxial crystal

Kosar Kasmaee, Mohammad Dehshiri, and Alireza Khorsandi
Appl. Opt. 63(11) 2843-2853 (2024)

Using a dual-tree complex wavelet transform for denoising an optical coherence tomography angiography blood vessel image

Huazong Liu, Shenghao Lin, Chong Ye, Dan Yu, Jia Qin, and Lin An
OSA Continuum 3(9) 2630-2645 (2020)

Three-dimensional curvelet-based dictionary learning for speckle noise removal of optical coherence tomography

Mahad Esmaeili, Alireza Mehri Dehnavi, Fedra Hajizadeh, and Hossein Rabbani
Biomed. Opt. Express 11(2) 586-608 (2020)

Maximum a posteriori signal recovery for optical coherence tomography angiography image generation and denoising

Lennart Husvogt, Stefan B. Ploner, Siyu Chen, Daniel Stromer, Julia Schottenhamml, A. Yasin Alibhai, Eric Moult, Nadia K. Waheed, James G. Fujimoto, and Andreas Maier
Biomed. Opt. Express 12(1) 55-68 (2021)

Wavelet denoising of multiframe optical coherence tomography data

Markus A. Mayer, Anja Borsdorf, Martin Wagner, Joachim Hornegger, Christian Y. Mardin, and Ralf P. Tornow
Biomed. Opt. Express 3(3) 572-589 (2012)