Fourier domain optical coherence tomography (FD-OCT) uses interferometry and spatially coherent,
polychromatic light to acquire cross-sectional images of scattering media such as biological tissue. Phase-sensitive
derivatives of FD-OCT, such as spectral domain phase microscopy (SDPM), can perform quantitative phase
imaging of cellular dynamics with sub-Angstrom sensitivity. FD-OCT and SDPM images are generated by taking
the Fourier Transform of the raw spectral interferogram; the accuracy of the reconstruction depends on the choice of
processing algorithms used, system noise, calibration and quantization errors. To decrease the processing time, the
Fast Fourier transform (FFT) algorithm can be applied when the data are evenly sampled in wavenumber.
Unfortunately, most OCT systems are designed for constant wavelength sampling, not constant wavenumber sampling. While there is general agreement on the qualitative superiority of some resampling methods over others, to the best of our knowledge there has been no study that compares these methods for OCT phase data. We examine the effects of various resampling techniques on simulated phase and amplitude OCT data. Given the trend towards high-speed imaging with OCT, the choice of resampling methods is critical, as one need balance processing time and image accuracy - not merely quality - when analyzing medical image data.