Pre-processing visual scenes for retinal prosthesis systems: A comprehensive review

IF 2.2 3区医学 Q3 ENGINEERING, BIOMEDICAL

Artificial organs Pub Date : 2024-07-18 DOI:10.1111/aor.14824

Heidi Ahmed Holiel, Sahar Ali Fawzi, Walid Al-Atabany

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引用次数: 0

Abstract

Background

Retinal prostheses offer hope for individuals with degenerative retinal diseases by stimulating the remaining retinal cells to partially restore their vision. This review delves into the current advancements in retinal prosthesis technology, with a special emphasis on the pivotal role that image processing and machine learning techniques play in this evolution.

Methods

We provide a comprehensive analysis of the existing implantable devices and optogenetic strategies, delineating their advantages, limitations, and challenges in addressing complex visual tasks. The review extends to various image processing algorithms and deep learning architectures that have been implemented to enhance the functionality of retinal prosthetic devices. We also illustrate the testing results by demonstrating the clinical trials or using Simulated Prosthetic Vision (SPV) through phosphene simulations, which is a critical aspect of simulating visual perception for retinal prosthesis users.

Results

Our review highlights the significant progress in retinal prosthesis technology, particularly its capacity to augment visual perception among the visually impaired. It discusses the integration between image processing and deep learning, illustrating their impact on individual interactions and navigations within the environment through applying clinical trials and also illustrating the limitations of some techniques to be used with current devices, as some approaches only use simulation even on sighted-normal individuals or rely on qualitative analysis, where some consider realistic perception models and others do not.

Conclusion

This interdisciplinary field holds promise for the future of retinal prostheses, with the potential to significantly enhance the quality of life for individuals with retinal prostheses. Future research directions should pivot towards optimizing phosphene simulations for SPV approaches, considering the distorted and confusing nature of phosphene perception, thereby enriching the visual perception provided by these prosthetic devices. This endeavor will not only improve navigational independence but also facilitate a more immersive interaction with the environment.

查看原文本刊更多论文

为视网膜假肢系统预处理视觉场景：全面回顾。

背景：视网膜假体通过刺激剩余的视网膜细胞来部分恢复视力，为患有退行性视网膜疾病的患者带来了希望。这篇综述深入探讨了视网膜假体技术的最新进展，特别强调了图像处理和机器学习技术在这一发展过程中发挥的关键作用：方法：我们全面分析了现有的植入式设备和光遗传学策略，阐述了它们在解决复杂视觉任务方面的优势、局限性和挑战。综述延伸到各种图像处理算法和深度学习架构，这些算法和架构已被用于增强视网膜假体设备的功能。我们还通过展示临床试验或使用模拟假体视觉（SPV）来说明测试结果，这也是模拟视网膜假体用户视觉感知的一个重要方面：我们的综述强调了视网膜假体技术的重大进展，特别是其增强视障人士视觉感知的能力。它讨论了图像处理和深度学习之间的整合，通过应用临床试验说明了它们对个人互动和在环境中导航的影响，还说明了一些技术在当前设备上使用的局限性，因为有些方法甚至只对视力正常的人使用模拟，或者依赖于定性分析，其中一些方法考虑了现实的感知模型，而另一些则没有：结论：这一跨学科领域为视网膜义肢的未来带来了希望，有可能显著提高视网膜义肢使用者的生活质量。考虑到磷光体感知的扭曲性和混淆性，未来的研究方向应着眼于优化用于 SPV 方法的磷光体模拟，从而丰富这些义眼设备提供的视觉感知。这项工作不仅能提高导航的独立性，还能促进与环境进行更身临其境的互动。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Artificial organs 工程技术-工程：生物医学

CiteScore

4.30

自引率

12.50%

发文量

303

审稿时长

4-8 weeks

期刊介绍： Artificial Organs is the official peer reviewed journal of The International Federation for Artificial Organs (Members of the Federation are: The American Society for Artificial Internal Organs, The European Society for Artificial Organs, and The Japanese Society for Artificial Organs), The International Faculty for Artificial Organs, the International Society for Rotary Blood Pumps, The International Society for Pediatric Mechanical Cardiopulmonary Support, and the Vienna International Workshop on Functional Electrical Stimulation. Artificial Organs publishes original research articles dealing with developments in artificial organs applications and treatment modalities and their clinical applications worldwide. Membership in the Societies listed above is not a prerequisite for publication. Articles are published without charge to the author except for color figures and excess page charges as noted.