Litcius/Paper detail

Structural similarity assessment of an optical coherence tomographic image enhanced using the wavelet transform technique

Mohammad Dehshiri, Saeed Ghavami Sabouri, Alireza Khorsandi

2020Journal of the Optical Society of America A26 citationsDOI

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.

Topics & Concepts

Artificial intelligenceWavelet transformOptical coherence tomographyComputer sciencePattern recognition (psychology)WaveletNoise reductionImage qualityComputer visionCoherence (philosophical gambling strategy)OpticsImage (mathematics)MathematicsPhysicsStatisticsOptical Coherence Tomography ApplicationsPhotoacoustic and Ultrasonic ImagingImage Processing Techniques and Applications