Robotic Point-of-Care OCT

机器人床旁 OCT

基本信息

批准号：
10878635
负责人：
Mark Draelos
金额：
$ 24.9万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-30 至 2026-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10878635
关键词：
Affect Age related macular degeneration Algorithms American Anatomy Area Attenuated Blinded Blindness Blinking Caring Chronic Clinic Clinical Computer software Dedications Detection Deterioration Device or Instrument Development Diabetic Retinopathy Diagnostic Procedure Disease Disease Management Disease Surveillance Environment Excision Exhibits Eye Eye diseases Face Funding Generations Glaucoma Hand Head Health Personnel Human Resources Image Imaging Techniques Internships Laboratories Machine Learning Measurement Measures Mechanics Medical Medical Device Medical Technology Mentors Morphologic artifacts Motion Ophthalmologist Ophthalmology Optical Coherence Tomography Optics Patient Participation Patient imaging Patients Patients&apos Rooms Phase Positioning Attribute Predisposition Primary Care Process Research Research Personnel Residual state Retina Retinal Diseases Robot Robotics Role Sampling Scanning Scientist Signal Transduction Specialist Structure System Techniques Technology Testing Time Torque Training Training Programs Translating Vision Visit arm attenuation base career career development clinic ready design digital experience feeding flexibility head-to-head comparison image processing imaging modality imaging platform imaging system improved instrument medical schools next generation novel novel strategies operation ophthalmic examination point of care portability prevent primary care provider primary care setting programs prototype research clinical testing routine screening screening skills standard of care technology development teleophthalmology tool visual tracking

项目摘要

PROJECT SUMMARY/ABSTRACT The PI was previously funded by the F30 mechanism while completing the Duke Medical Scientist Training Program. He has since completed medical school and internship and now returns for a full-time research career. This career development proposal is an effective continuation of the PI’s prior mentored training and research experience and seeks to develop him into an independent investigator. The proposed project concerns the role of optical coherence tomography (OCT) in retinal disease screening. Preventable retinal blindness affects tens of millions of Americans and hundreds of millions worldwide. Its top three causes are chronic, progressive conditions that yield irreversible vision loss after an initial asymptomatic period. Annual screening is therefore essential to detect and treat these diseases before sight deteriorates. Rates of screening are suboptimal, however, because the proper eye examination is difficult for and inaccurate when performed by primary care providers (PCPs). OCT is an essential imaging modality for management of retinal diseases. Currently, clinical OCT is deployed as bulky tabletop instruments that require trained ophthalmic photographers, dedicated imaging suites, and mechanical head stabilization with chinrests for operation, which has prevented OCT-based eye screening by PCPs. We recently introduced robotic point-of-care OCT (RAOCT) as a fundamentally new paradigm for OCT-based eye examination that overcomes the barriers that restrict OCT to ophthalmology offices. RAOCT offers semi- or fully-automated non-contact OCT imaging by bringing a robot-mounted OCT scanner to the patient, tracking them throughout a large imaging workspace, and optically correcting for motion artifact. Our laboratory prototypes using this approach have demonstrated sufficient OCT quality in freestanding and seated subjects for anatomic measurement and clinical correlation, respectively, with only minimal operator training. These prototypes function reliably only under controlled laboratory conditions, however, and significant technology development for portability, tracking robustness, and motion correction is necessary to yield a clinic- ready instrument. This project therefore seeks to advance our bench-mounted prototypes into fully-fledged mobile systems for imaging in non-specialist clinics and to test them against the OCT standard-of-care. First, we will transition our prototype into a wheeled cart that can be brought into clinics, upgrade our robot arm for extended reach, and redesign our robot-mounted scanner for improved tracking under realistic imaging conditions. Next, we will enhance motion attenuation by transitioning image processing algorithms to dedicated hardware, by adding digital correction for residual motion, and by incorporating a novel adaptive scanning technique to reduce imaging time. Finally, we will perform RAOCT imaging in ophthalmology clinics to compare against the standard of care and in primary care offices to evaluate screening workflows. Completion of this project will develop robotic point-of-care OCT into a turnkey imaging platform that promises to enhance eye screening in primary care settings.

项目概要/摘要该 PI 此前在完成杜克大学医学科学家培训时曾获得 F30 机制的资助此后，他完成了医学院学业和实习，现在返回全职研究生涯。该职业发展建议是 PI 之前指导的培训和研究的有效延续经验并寻求将他培养成一名独立调查员。拟议的项目涉及该角色。光学相干断层扫描（OCT）在视网膜疾病筛查中的应用可预防的视网膜失明影响数十人。数百万美国人和全世界数亿人的健康问题的三大原因是慢性的、进行性的。因此，在最初的无症状期后导致不可逆转的视力丧失的情况需要每年进行筛查。在视力恶化之前检测和治疗这些疾病至关重要，然而，由于初级保健机构进行适当的眼科检查很困难且不准确 OCT 是目前临床治疗视网膜疾病的重要成像方式。 OCT 被部署为笨重的桌面仪器，需要训练有素的眼科摄影师、专用成像套件和带有下巴托的机械头部稳定装置用于操作，这防止了基于 OCT 的眼睛我们最近推出了机器人床旁 OCT (RAOCT) 作为一种全新的筛查方法。基于 OCT 的眼部检查范例，克服了 OCT 仅限于眼科诊所的障碍。 RAOCT 通过将安装在机器人上的 OCT 扫描仪带到现场，提供半自动化或全自动非接触式 OCT 成像。患者，在整个成像工作空间中跟踪他们，并对运动伪影进行光学校正。使用这种方法的实验室原型已在独立式和坐式中证明了足够的 OCT 质量分别进行解剖测量和临床相关的受试者，只需最少的操作员培训。然而，这些原型只有在受控的实验室条件下才能可靠地运行，而且意义重大便携性、跟踪稳健性和运动校正的技术开发对于产生临床效果是必要的。因此，该项目旨在将我们的台式原型机发展为成熟的仪器。在非专科诊所进行成像的移动系统，并根据 OCT 护理标准对其进行测试。将我们的原型转变为可以带入诊所的轮式推车，升级我们的机器人手臂扩大覆盖范围，并重新设计我们的机器人安装扫描仪，以改善真实成像下的跟踪接下来，我们将通过将图像处理算法转变为专用算法来增强运动衰减。硬件，通过添加残余运动的数字校正，并结合新颖的自适应扫描最后，我们将在眼科诊所进行RAOCT成像进行比较。完成此该项目将把机器人床旁 OCT 开发成交钥匙成像平台，有望增强眼睛功能初级保健机构中的筛查。