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

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

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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.

项目摘要/摘要 PI以前是由F30机制资助的，同时完成了杜克医学科学家培训程序。此后，他已经完成了医学院和实习，现在返回全日制研究职业。这项职业发展建议是PI先前培训和研究的有效延续经验并试图将他发展成独立的调查员。拟议的项目涉及角色视网膜疾病筛查中的光学相干断层扫描（OCT）。可预防的残留失明会影响数十个全世界数百万的美国人和亿万千万。它的前三个原因是慢性，进步的初始无症状时期后会导致不可逆转的视力丧失。因此，年度筛查是在视力确定之前，必须检测和治疗这些疾病。筛查率是次优的，但是，因为在初级保健进行时，适当的眼睛检查很难进行并且不准确提供者（PCP）。 OCT是用于管理残留疾病的必要成像方式。目前，临床 OCT被部署为需要训练有素的眼科摄影师，专用成像的笨重的桌面乐器套件和机械头部稳定与Chinrests进行操作，这阻止了基于OCT的眼睛通过PCP筛选。我们最近引入了机器人Pare Point Oct Oct（RAOCT）作为一种新的新基于OCT的眼科检查的范式克服了将OCT限制为眼科办公室的障碍。 RAOCT通过将机器人安装的OCT扫描仪带到患者在整个大型成像工作区中跟踪它们，并在运动伪影进行光学校正。我们的实验室原型使用这种方法表现出足够的独立式质量和座位仅通过最少的操作员培训，分别进行解剖测量和临床相关性的受试者。但是，这些原型仅在受控实验室条件下才能可靠，并且很重要需要进行可移植性，跟踪鲁棒性和运动校正的技术开发以产生诊所 - 现成的乐器。因此，该项目旨在将我们的台式原型推向全面非专业诊所中用于成像的移动系统，并针对OCT标准护理进行测试。首先，我们将我们的原型过渡到可以带入诊所的车轮，升级我们的机器人臂扩展覆盖范围，并重新设计我们机器人安装的扫描仪，以改进逼真的成像下的跟踪状况。接下来，我们将通过将图像处理算法转换为专用的图像处理来增强运动衰减硬件，通过为残余运动增加数字校正，并结合新颖的自适应扫描减少成像时间的技术。最后，我们将在眼科诊所进行RAOCT成像以比较违反护理标准和初级保健办公室，以评估筛查工作流程。完成此操作项目将将机器人保健点OCT开发成一个交钥匙成像平台，该平台有望增强眼睛在初级保健环境中进行筛查。