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Current display technologies are limited in projecting floating ultra-high definition images on multiple layers, preventing applications in augmented reality for medical education. Computer-generated holography (CGH) with custom algorithms allows for displaying floating 3D images for augmented reality applications. The limitation of existing 3D display technologies is the lack of clearly-defined anatomical structures and models for medical education The custom algorithm was based on microoptical adaptation of the natural superposition compound human eye with the help of a virtual Gabor superlens and a layering technique. High-resolution Spatial Light Modulators (SLMs) can enable increasing the field of view and display size in CGH. The 3D holographic projection applications require an enlarged field of view for multi-user purposes and can be implemented to deliver presentations from remote settings and as non-invasive practical education in medicine. This technology targets academic medical centres, hospitals and clinics as well as research laboratories. In this work, a layered holographic projection method was developed to display high-resolution (3840×2160 px) 3D floating images in direct-view mode targeting medical education. A computational algorithm was created based on a phase retrieval algorithm and a virtual Gabor superlens to project a hologram on the Liquid Crystal on Silicon (LCoS) display panel of an UHD SLM. A code was programmed for generating multilayer 3D in-eye projections by adding multiple retrieved holograms with an independent Gabor zone plate into each single hologram. The reconstructions were obtained with a HeNe laser (633 nm, 5 mW) and the UHD SLM with reflective phase modulation. 3D holograms were directly observed floating as a ghost image at variable focal distances.
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Jana Skirnewskaja, Yunuen Montelongo, Timothy D. Wilkinson, "3D computer-generated holograms for augmented reality applications in medical education," Proc. SPIE 11842, Applications of Digital Image Processing XLIV, 118421C (1 August 2021); https://doi.org/10.1117/12.2595931