Paper
18 November 2013 Artifacts cancellation in Fourier domain optical coherence tomography using balance detection
Author Affiliations +
Proceedings Volume 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications; 8785E4 (2013) https://doi.org/10.1117/12.2026390
Event: 8th Ibero American Optics Meeting/11th Latin American Meeting on Optics, Lasers, and Applications, 2013, Porto, Portugal
Abstract
A Fourier domain optical coherence tomography system equipped with two spectrometers in balance detection is presented. The set-up was successfully used in reducing two artifacts present in Fourier domain optical coherence tomography images: autocorrelation terms and fixed pattern noise. Conditions and adjustments of spectrometer parameters are presented to ensure an anti-phase channelled spectrum modulation along the length of the two cameras for a majority of wavelengths within the optical source spectrum. By stopping the optical signal to reach one of the spectrometers, the set-up was used to compare the conditions of operation of a single camera with that of a balanced configuration. Using as a sample a tooth, balanced detection technique is compared with techniques applied to conventional single camera set-ups, based on sequential deduction of averaged spectra collected with different on/off settings for the sample or reference beams. It is concluded that balance detection performs better than single camera techniques, is more tolerant to movement, exhibits longer-term stability and can operate dynamically in real time.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adrian Bradu and Adrian Gh. Podoleanu "Artifacts cancellation in Fourier domain optical coherence tomography using balance detection", Proc. SPIE 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, 8785E4 (18 November 2013); https://doi.org/10.1117/12.2026390
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Spectrometers

Optical coherence tomography

Teeth

Microscopes

Signal detection

Directional couplers

Back to Top