We present a neural network able to fully linearise an OCT image without any a priori knowledge about the spectrometer characteristics or the extent of dispersion in the interferometer and the object. Unlike the earlier solutions, this blind line-arisation is not biased towards a specific object, nor its dispersion characteristics, and in the future can be made independent of the light source parameters.
Optical Coherence Elastography (OCE) and a gold-standard method, oscillatory test, provide estimates of the shear modulus of a vitreous humour at different frequencies and are therefore impossible to compare. To reconcile these two methods, we investigated the frequency dependence of the shear modulus of a phantom of an extracted vitreous. The values obtained in the high frequency range with OCE were extrapolated and compared with the oscillatory test data for lower frequencies. The preliminary results show some discrepancy that might stem either from overestimation of the OCE data due to the wave excitation procedure or from a partially incomplete model.
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