Imaging Components, Systems, and Processing

Enhanced optical coherence tomography imaging using a histogram-based denoising algorithm

[+] Author Affiliations
Keo-Sik Kim, Hyoung-Jun Park, Hyun Seo Kang

Electronics and Telecommunications Research Institute, 11, Cheomdangwagi-ro 176beon-gil, Buk-gu, Gwangju 61012, Republic of Korea

Opt. Eng. 54(11), 113110 (Nov 25, 2015). doi:10.1117/1.OE.54.11.113110
History: Received August 17, 2015; Accepted November 2, 2015
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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.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Keo-Sik Kim ; Hyoung-Jun Park and Hyun Seo Kang
"Enhanced optical coherence tomography imaging using a histogram-based denoising algorithm", Opt. Eng. 54(11), 113110 (Nov 25, 2015). ; http://dx.doi.org/10.1117/1.OE.54.11.113110


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