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22 February 2012 The effects of different gold standards on the accuracy of optical coherence tomography
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Abstract
Fourier domain optical coherence tomography (FD-OCT) can acquire cross-sectional images of scattering media. Reconstruction of FD-OCT images requires taking the Fourier Transform of the raw data; the accuracy of which depends on the processing algorithms used, among other things. To use the Fast Fourier Transform, data must be evenly sampled in wavenumber, which they generally are not. Thus, researchers must apply hardware- or softwarebased methods to resample the data accordingly. To the best of our knowledge there has been no study that compares different choices for gold standard datasets (i.e., different choices for assigning the sampled wavelengths); furthermore there has been no investigation of the effects of these processing steps on phase data. We first compare different options for gold standard datasets and then examine the effects of various resampling techniques on reconstructed OCT data. We find that an alternative wavenumber sampling range may yield more accurate results for OCT phase data and better intensity of reflector peaks.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher N. Copeland and Audrey K. Ellerbee "The effects of different gold standards on the accuracy of optical coherence tomography", Proc. SPIE 8225, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues X, 822511 (22 February 2012); https://doi.org/10.1117/12.909328
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