Adaptive Optics for Ophthalmic Imaging

用于眼科成像的自适应光学

• 批准号: 2877426
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2877426
• 关键词: Adaptive; Optics; Ophthalmic; Imaging

1. Project Title: Adaptive Optics for Ophthalmic imaging2. Brief description of the context including potential impact:Vision loss due to retinal diseases is a significant health concern, affecting millions worldwide. The "Adaptive Optics for Ophthalmic Imaging" project at the UCL Department of Medical Physics and Biomedical Engineering aims to revolutionise the field of retinal imaging by harnessing adaptive optics (AO) technology. AO, originally developed for astronomy, corrects distortions caused by atmospheric turbulence, resulting in sharper images. In the realm of ophthalmology, AO is used to achieve a diffraction limited focus and allow better imaging of the eye.The project focuses on addressing challenges of retinal imaging such as optical design, surface imperfections correction, signal detection, high-speed electronics, and real-time image processing. Through innovation in various aspects of AO for retinal imaging, including hardware, AI-based control systems, and image analysis, this research seeks to produce high-resolution images that enable early disease detection and guide therapeutic interventions.3. Aims and ObjectivesDevelop advanced adaptive optics systems tailored for retinal imaging.Investigate implementations of hardware-based adaptive optics and computational adaptive optics systems.Design complete retinal imaging systems capable of providing high-resolution images.Implement artificial intelligence algorithms to enhance AO control, optimising image quality.Develop innovative image processing and analysis techniques to extract valuable diagnostic information.Utilise high-resolution images for the early detection of retinal diseases.4. Novelty of research methodologyThe novelty of this research lies in its multidisciplinary approach, combining optics, imaging systems, programming, control systems, and image processing. The utilisation of artificial intelligence for AO control and the development of cutting-edge image processing methods.5. Alignment with EPSRC's strategies and research areasThe "Adaptive Optics for Ophthalmic Imaging" project aligns with the Engineering and Physical Sciences Research Council's (EPSRC) strategies and research areas. It addresses EPSRC's focus on interdisciplinary research, bridging the gap between engineering and the life sciences. Additionally, the project contributes to advancements in imaging technologies and artificial intelligence, fostering innovation in healthcare. By targeting early diagnosis and treatment for vision-robbing diseases, it aligns with EPSRC's commitment to improving healthcare outcomes through cutting-edge research and technology development.

1.项目名称：眼科成像自适应光学2。背景简要描述，包括潜在影响：视网膜疾病导致的视力丧失是一个重大的健康问题，影响着全球数百万人。UCL医学物理和生物医学工程系的“眼科成像自适应光学”项目旨在通过利用自适应光学（AO）技术彻底改变视网膜成像领域。AO最初是为天文学开发的，它可以纠正大气湍流引起的失真，从而获得更清晰的图像。在眼科领域，AO用于实现衍射极限聚焦，并允许更好地对眼睛进行成像。该项目专注于解决视网膜成像的挑战，如光学设计，表面缺陷校正，信号检测，高速电子学和实时图像处理。通过在视网膜成像AO的各个方面的创新，包括硬件，基于AI的控制系统和图像分析，这项研究旨在产生高分辨率的图像，使早期疾病检测和指导治疗干预成为可能。目的和目标开发适合视网膜成像的先进自适应光学系统。研究基于硬件的自适应光学和计算自适应光学系统的实现。设计能够提供高分辨率图像的完整视网膜成像系统。实现人工智能算法以增强AO控制，优化图像质量。开发创新的图像处理和分析技术，以提取有价值的诊断信息。分辨率图像用于视网膜疾病的早期检测。研究方法的新奇本研究的新颖性在于其多学科的方法，结合光学，成像系统，编程，控制系统和图像处理。利用人工智能进行AO控制和开发尖端的图像处理方法。与EPSRC的战略和研究领域保持一致“眼科成像自适应光学”项目与工程和物理科学研究理事会（EPSRC）的战略和研究领域保持一致。它解决了EPSRC的跨学科研究的重点，弥合工程和生命科学之间的差距。此外，该项目有助于成像技术和人工智能的进步，促进医疗保健领域的创新。通过针对视力障碍疾病的早期诊断和治疗，它符合EPSRC通过尖端研究和技术开发改善医疗保健结果的承诺。