I-Corps: TEAMS-MobileVision from Advanced Vision Labs
I-Corps: TEAMS-MobileVision from Advanced Vision Labs
批准号:
1505693
负责人:
Ashok Veeraraghavan
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-12-15 至 2015-11-30
中文摘要
老年性黄斑变性(AMD)是一种眼部疾病,是美国50岁以上人群中心视力丧失的主要原因。这种疾病的发展往往是不可预测的和迅速的。现有的技术(固定在桌子上,笨重,由临床医生操作)可以在诊所就诊期间评估AMD,但此类就诊仅计划每几个月一次。现有的临床实践未能在就诊期间发现变性,并让临床医生和患者猜测。这个i-Corps团队建议利用日益普遍的可拍照智能手机以及快速发展的计算成像来解决两次访问之间的AMD进展问题,并引入新一代便携式、低成本的计算眼成像设备。MobileVision AMD成像仪的开发将通过以天而不是数月的时间尺度捕获视网膜图像,增加对AMD进展情况和治疗效果的了解。这些图像,加上医生对它们的审查,将为AMD的自动诊断提供新的研究方向,并可能导致新的、更有效的临床实践的发展。拟议的创新是一种带回家的视网膜成像系统。医生在预定的就诊期间向患者展示如何使用该设备,然后将患者带回家。然后,患者使用该设备为自己的视网膜拍照(S)。这些图像会自动发送给医生,并可以在他或她空闲时进行查看。如果患者的AMD进展异常,如图像所示,医生会通知患者,并建议更早地进行随访。在以前的奖项下进行的基础研究展示了从便携式视网膜成像系统轻松、可靠、重复和高质量地获取视网膜图像的方法。这直接使提议实施的带回家的视网膜成像设备成为可能。
英文摘要
Age-related macular degeneration (AMD) is a disease of the eye that is the leading cause of central vision loss in people over 50 in the US. The progress of the disease can often be unpredictable and rapid. Existing technologies (bolted to tables, bulky, operated by clinician) can evaluate AMD during clinic visits, but such visits are scheduled only once every few months. Existing clinical practices fail to detect degeneration in-between clinic visits and leave clinicians and patients guessing. This I-Corps team proposes to take advantage of the ever-growing ubiquity of camera-enabled smartphones coupled with the rapid development of computational imaging to solve the between-visit AMD progression problem and usher in a new generation of portable, low-cost, computational eye-imaging devices. The development of the mobileVision AMD imager will increase understanding of how AMD progresses and how well treatments are performing by capturing retinal images at a time scale of days rather than months. These images, coupled with their review by doctors, will enable new research directions for automatic AMD diagnosis, and may lead to the development of new, more effective clinical practices.The proposed innovation is a take-home retinal imaging system. The physician shows the patient how to use the device during a scheduled visit, and then sends the patient home with the device. The patient then uses the device to take images of his or her own retina(s). The images are automatically sent to the physician, and they can be reviewed at his or her leisure. If the patient's AMD is progressing unusually, as indicated by the images, then the doctor informs the patient, and suggests an earlier follow-up visit. The fundamental research performed under previous awards demonstrates methodologies for acquiring retinal images easily, reliably, repeatably, and with high quality from a portable retinal imaging system. This directly enables the proposed implementation of a take-home retinal imaging device.
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资助金额:$50.0万
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财政年份:2021
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负责人:Ashok Veeraraghavan
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依托单位:
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项目类别:Continuing Grant
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资助金额:$90.0万
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依托单位:
CAREER: A Signal Processing Framework for Computational Imaging: From Theory to Applications
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资助金额:$54.9万
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依托单位:
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批准号:1502875
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资助金额:$15.0万
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财政年份:2015
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负责人:Ashok Veeraraghavan
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依托单位:
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资助金额:$49.99万
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财政年份:2011
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负责人:Ashok Veeraraghavan
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依托单位:
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资助金额:$25.0万
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财政年份:2011
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负责人:Ashok Veeraraghavan
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依托单位:
海外基金