WAVE-UNET: Wavelength-based image reconstruction method using attention UNET for OCT images
Maryam Viqar,
Erdem Sahin,
Violeta Madjarova
et al.
Abstract:In this work, we propose to leverage a deep-learning (DL) based reconstruction framework for high quality Swept-Source Optical Coherence Tomography (SS-OCT) images, by incorporating wavelength (λ) space interferometric fringes. Generally, the SS-OCT captured fringe is linear in wavelength space and if Inverse Discrete Fourier Transform (IDFT) is applied to extract depth-resolved spectral information, the resultant images are blurred due to the broadened Point Spread Function (PSF). Thus, the recorded wavelengt… Show more
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