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Virtual prototyping for retinal prosthesis patients

视网膜假体患者的虚拟原型制作

基本信息

批准号：
10475227
负责人：
Michael Beyeler
金额：
$ 14.95万
依托单位：
UNIVERSITY OF CALIFORNIA SANTA BARBARA
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-30 至 2023-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10475227
关键词：
Affect Behavioral Bionics Cells Clinical Trials Cochlear Implants Collaborations Complex Computer Models Computer Vision Systems Data Development Devices Effectiveness Electric Stimulation Electrodes Electronics Electrophysiology (science)Eye Eye Movements Family Financial compensation Future Goals Head Human Implant In Vitro Individual Knowledge Learning Letters Machine Learning Macular degeneration Manufacturer Name Medical Medicare Methods Modeling Motion Neurons Ocular Prosthesis Online Systems Outcome Output Patients Pattern Perceptual distortions Performance Persons Photoreceptors Prosthesis Prosthesis Design Protocols documentation Psychophysics Rehabilitation therapy Reporting Retina Retinal Diseases Retinal Dystrophy Retinitis Pigmentosa Schedule Severities Shapes Specialist Stimulus System Techniques Technology Testing Training Vision Visual Visual Psychophysics Visual impairment Visual system structure Visualization Work base behavior measurement behavior test deep neural network design experience experimental study gaze implantation improved machine learning algorithm neurophysiology neuroprosthesis novel object recognition optogenetics predictive modeling prototype regression algorithm retinal prosthesis sight restoration simulation spatiotemporal success virtual virtual patient virtual reality virtual reality environment

项目摘要

Project Summary/Abstract Retinal dystrophies such as retinitis pigmentosa and macular degeneration induce progressive loss of photoreceptors, resulting in profound visual impairment in more than ten million people worldwide. Visual neuroprostheses (‘bionic eyes’) aim to restore functional vision by electrically stimulating remaining cells in the retina, analogous to cochlear implants. A wide variety of neuroprostheses are either in development (e.g. optogenetics, cortical) or are being implanted in patients (e.g. subretinal or epiretinal electrical). A limiting factor that affects all device types are perceptual distortions and subsequent loss of information, caused by interactions between the implant technology and the underlying neurophysiology. Understanding the causes of these distortions and finding ways to alleviate them is critically important to the success of current and future sight restoration technologies. In this proposal, human visual psychophysics, computational modeling, data-driven approaches, and virtual reality (VR) will be combined to develop and experimentally validate optimized stimulation protocols for epiretinal prostheses. This approach is analogous to virtual prototyping for airplanes and other complex systems: to use a high-quality model of both the implant electronics and the visual system in order to generate a ‘virtual patient’. Retinal electrophysiological and visual behavioral data will be used to develop and validate a computational model of the expected visual experience of patients when electrically stimulated. One way of using this model will be to generate simulations of the expected perceptual outcome of electrical stimulation across a wide variety of electrical stimulation patterns. These will be used as a training set for machine learning algorithms that will invert the input-output function of the model to find the electrical stimulation protocol that best replicates any desired perceptual experience. The model can also be used to simulate the expected perceptual experience of real patients by using sighted subjects in a VR environment – ‘VR virtual patients’. These virtual patients will be used to discover preprocessing methods (e.g., edge enhancement, retargeting, decluttering) that improve behavioral performance in VR. Although current retinal prostheses have been implanted in over 250 patients worldwide, experimentation with improved stimulation protocols remains challenging and expensive. Implementing ‘virtual patients’ in VR offers an affordable and practical alternative for high-throughput experiments to test new stimulation protocols. Stimulation protocols that result in good VR performance will be experimentally validated in real prosthesis patients in collaboration with Second Sight Medical Products Inc. and Pixium Vision, two leading device manufacturers in the field. This work has the potential to significantly improve the effectiveness of visual neuroprostheses as a treatment option for individuals suffering from blinding retinal diseases.

项目总结/文摘