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- Title
Enhanced optical coherence tomography imaging using a histogram-based denoising algorithm.
- Authors
Keo-Sik Kim; Hyoung-Jun Park; Hyun Seo Kang
- 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 Ascans, 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.
- Subjects
OPTICAL coherence tomography; SIGNAL denoising; HISTOGRAMS; CURVE fitting; OPTICAL imaging sensors
- Publication
Optical Engineering, 2015, Vol 54, Issue 11, p1
- ISSN
0091-3286
- Publication type
Article
- DOI
10.1117/1.OE.54.11.113110