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Optical Engineering

Enhanced optical coherence tomography imaging using a histogram-based denoising algorithm
Author(s): Keo-Sik Kim; Hyoung-Jun Park; Hyun Seo Kang
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Paper Abstract

A histogram-based denoising algorithm was developed to effectively reduce ghost artifact noise and enhance the quality of an optical coherence tomography (OCT) imaging system used to guide surgical instruments. The noise signal is iteratively detected by comparing the histogram of the ensemble average of all A-scans, and the ghost artifacts included in the noisy signal are removed separately from the raw signals using the polynomial curve fitting method. The devised algorithm was simulated with various noisy OCT images, and <87% of the ghost artifact noise was removed despite different locations. Our results show the feasibility of selectively and effectively removing ghost artifact noise.

Paper Details

Date Published: 25 November 2015
PDF: 4 pages
Opt. Eng. 54(11) 113110 doi: 10.1117/1.OE.54.11.113110
Published in: Optical Engineering Volume 54, Issue 11
Show Author Affiliations
Keo-Sik Kim, Electronics and Telecommunications Research Institute (Republic of Korea)
Hyoung-Jun Park, Electronics and Telecommunications Research Institute (Republic of Korea)
Hyun Seo Kang, Electronics and Telecommunications Research Institute (Republic of Korea)


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