AI-enhanced OCT/OCTA: high-SNR reconstruction using dual-spectrometer OCT in high-speed acquisition mode

Optical coherence tomography (OCT) is a powerful imaging technique for visualizing the retina, but it often faces a trade-off between speed and image quality. To overcome this, we developed a deep learning model that uses data from a dual-spectrometer OCT system to generate high-quality images from high speed acquisitions. Our method enhances image quality and reveals fine retinal details, including capillaries and deeper structures, without requiring changes to the hardware. This approach allows us to combine the strengths of both high-speed and high-quality imaging, offering a promising tool for more efficient and detailed retinal assessment.