Optimizing DHD for Healthcare Applications in the Metaverse
Vrunda Patel, Megh Patel, Khush Patel, Jignesh Thaker · 2025
The present article comprehensively investigates the optimal algorithms for phaseonly hologram (POH) and their methodologies. Holographic display technology, widely used in various laboratories, is explored with a focus on enhancing wearability, display, and overall outlook. This paper encapsulates experimental studies involving dynamic holographic displays through a comparative analysis of photorefractive materials (CsPbBr3, PVCz, and PATPD/CAAN) and liquid-crystal films. Furthermore, the implementation of computer-generated hologram (CGH) is detailed, employing a combination of U-Net and ResNet structures to achieve higher-quality reconstructed images. The integration of these advanced techniques within the convolutional neural network (CNN) methods is discussed in terms of the training process and its modifications. The overall optimization of hologram technology is highlighted to overcome zero-order intensity distortion, enormous computational time, and noise from the coherent light source as well as from the system. These optimizations in holographic display technology contribute significantly to diverse fields including healthcare, gaming, data storage, and interactive communication displays. Furthermore, a thorough evaluation of the metaverse has been conducted, encompassing its pivotal technologies, and various uses in the medical and healthcare fields, such as emergency response education, practical experience in anatomy education, ophthalmology, drug research, and so forth.