Dr. Jun Lee Profile

Dr. Jun Lee

at LG Electronics Inc

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Proceedings Article | 4 March 2014 Paper

Speckle reduction in optical coherence tomography images via dynamic infinite-impulse-response filtering

Jun Lee, Sangshik Park, Jung-Ho Chung

Proceedings Volume 8934, 89343I (2014) https://doi.org/10.1117/12.2041635

KEYWORDS: Image filtering, Speckle, Optical coherence tomography, Optical filters, Image quality, Digital filtering, Motion detection, Finite impulse response filters, Image processing, Infinite impulse response filters

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A temporal filtering method based on an infinite-impulse-response filter is presented to reduce speckle in optical coherence tomography (OCT) images. This method works in a recursive way, linearly combining the current B-scan image frame with a previously filtered one to generate a newly filtered image. Thus, it performs with less computational complexity and time, compared to the finite-impulse-response filter based approach that typically averages multiple stored frames. To achieve speckle noise reduction while avoiding image blurring caused by sample motion, the filter coefficient is dynamically determined, depending on the parameters related to motion detection and image quality. We used the mean-squared error (MSE) between two successive frames as a criterion to detect sample motion and changed the filter coefficient when the MSE exceeded a certain threshold to prevent image blurring. The optimal coefficient and motion detection threshold were chosen for achieving robust and unblurred images in our testbed configuration. In this study, we analyzed the algorithm with OCT images acquired by a swept-source OCT system we built and also examined that the method operated in real-time even via CPU processing. Results in our and conventional schemes are compared by using various image quality metrics and by observing images. We found that the performance of speckle reduction was quite promising and simultaneously the fine details of sample structures were preserved even with sample motion.

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