Please use this identifier to cite or link to this item: https://doi.org/10.1109/TBME.2012.2202391
Title: Dual-window dual-bandwidth spectroscopic optical coherence tomography metric for qualitative scatterer size differentiation in tissues
Authors: Tay, B.C.-M.
Chow, T.-H.
Ng, B.-K.
Loh, T.K.-S. 
Keywords: biomedical image processing
biomedical optical imaging
Biophotonics
particle measurements
Issue Date: 2012
Citation: Tay, B.C.-M., Chow, T.-H., Ng, B.-K., Loh, T.K.-S. (2012). Dual-window dual-bandwidth spectroscopic optical coherence tomography metric for qualitative scatterer size differentiation in tissues. IEEE Transactions on Biomedical Engineering 59 (9) : 2439-2448. ScholarBank@NUS Repository. https://doi.org/10.1109/TBME.2012.2202391
Abstract: This study investigates the autocorrelation bandwidths of dual-window (DW) optical coherence tomography (OCT) k-space scattering profile of different-sized microspheres and their correlation to scatterer size. A dual-bandwidth spectroscopic metric defined as the ratio of the 10% to 90% autocorrelation bandwidths is found to change monotonically with microsphere size and gives the best contrast enhancement for scatterer size differentiation in the resulting spectroscopic image. A simulation model supports the experimental results and revealed a tradeoff between the smallest detectable scatterer size and the maximum scatterer size in the linear range of the dual-window dual-bandwidth (DWDB) metric, which depends on the choice of the light source optical bandwidth. Spectroscopic OCT (SOCT) images of microspheres and tonsil tissue samples based on the proposed DWDB metric showed clear differentiation between different-sized scatterers as compared to those derived from conventional short-time Fourier transform metrics. The DWDB metric significantly improves the contrast in SOCT imaging and can aid the visualization and identification of dissimilar scatterer size in a sample. Potential applications include the early detection of cell nuclear changes in tissue carcinogenesis, the monitoring of healing tendons, and cell proliferation in tissue scaffolds. © 2012 EEE.
Source Title: IEEE Transactions on Biomedical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/125586
ISSN: 00189294
DOI: 10.1109/TBME.2012.2202391
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