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Dispersion is a common phenomenon in optics due to the frequency dependenceof the refractive index in polychromatic light. This issue, if left untreatedin optical coherence tomography (OCT) imaging, leads to signal broadening ofthe coherence length and deterioration of the axial resolution. We report a newnumeric method for the systematic dispersion compensation in a spectral-domain(SD) OCT for imaging the iridocorneal angle of human cadaver eyes. Thedispersion compensation for our OCT system is calculated by an automatediterative process that minimizes the wavenumber-dependent variance of the ridgeextracted from the energy distribution of a mirror's spectral interferogramusing Short-Time Fourier Transform (STFT) Time-Frequency Analysis (TFA). Theaverage axial resolution of 2.7 um in air was achieved at a range of depths upto 2 mm. Compensated OCT images of the iridocorneal angle in human cadaver eyeswere much clearer than non-compensated images. We demonstrate the feasibility,effectiveness, and robustness of the proposed method for dispersioncompensation in an SD-OCT by evaluating both the mirror and human cadaver eyemeasurements. We also verified that our imaging system is able to visualize theiridocorneal angle details, such as trabecular meshwork (TM), Schlemm's canal(SC), and collector channels (CCs), which are important ocular outflowstructures and play a crucial role in glaucoma managements.

Systematic dispersion compensation for spectral domain optical coherence  tomography using time-frequency analysis and iterative optimization for  iridocorneal angle imaging