I-Corps: TEAMS-MobileVision from Advanced Vision Labs

I-Corps:来自高级视觉实验室的 TEAMS-MobileVision

基本信息

  • 批准号:
    1505693
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 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
  • 起止时间:
    2014-12-15 至 2015-11-30
  • 项目状态:
    已结题

项目摘要

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.
年龄相关性黄斑变性 (AMD) 是一种眼部疾病,是美国 50 岁以上人群中央视力丧失的主要原因。 疾病的进展往往是不可预测的且迅速。 现有技术(固定在桌子上,体积庞大,由临床医生操作)可以在诊所就诊期间评估 AMD,但此类就诊每隔几个月才安排一次。现有的临床实践无法检测两次就诊之间的退化情况,导致临床医生和患者只能猜测。 I-Corps 团队提议利用日益普及的带摄像头的智能手机以及计算成像的快速发展来解决访问之间的 AMD 进展问题,并引入新一代便携式、低成本计算眼部成像设备。 mobileVision AMD 成像仪的开发将通过在数天而不是数月的时间范围内捕获视网膜图像,加深对 AMD 进展情况以及治疗效果的了解。这些图像加上医生的审查,将为自动 AMD 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。所提出的创新是一种带回家的视网膜成像系统。医生在预约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拍摄他或她自己的视网膜图像。图像会自动发送给医生,医生可以在闲暇时进行查看。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尽早进行随访。先前奖项中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、可重复地获取高质量视网膜图像的方法。这直接使得所提出的带回家视网膜成像设备的实现成为可能。

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Ashok Veeraraghavan其他文献

PPGMotion: Model-based detection of motion artifacts in photoplethysmography signals
PPGMotion:基于模型的光电容积描记术信号中运动伪影的检测
  • DOI:
    10.1016/j.bspc.2022.103632
  • 发表时间:
    2022-05-01
  • 期刊:
  • 影响因子:
    4.900
  • 作者:
    Akash Kumar Maity;Ashok Veeraraghavan;Ashutosh Sabharwal
  • 通讯作者:
    Ashutosh Sabharwal
Generalization Error
泛化错误
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ramalingam Chellappa;Ashok Veeraraghavan;Narayanan Ramanathan;Chew;M. S. Nixon;A. Elgammal;Jeffrey E. Boyd;J. Little;Niels Lynnerup;Peter K. Larsen;Douglas A. Reynolds
  • 通讯作者:
    Douglas A. Reynolds
Neural Wavefront Shaping in the Photon-Starved Regime
光子匮乏状态下的神经波前整形
Unsupervised view and rate invariant clustering of video sequences q
视频序列 q 的无监督视图和速率不变聚类
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    P. Turaga;Ashok Veeraraghavan;Rama Chellappa
  • 通讯作者:
    Rama Chellappa
Ieee Transactions on Pattern Analysis and Machine Intelligence Shape and Behavior Encoded Tracking of Bee Dances Ieee Transactions on Pattern Analysis and Machine Intelligence 2
IEEE 模式分析和机器智能交易 蜜蜂舞蹈的形状和行为编码跟踪 IEEE 模式分析和机器智能交易 2
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ashok Veeraraghavan;Ramalingam Chellappa
  • 通讯作者:
    Ramalingam Chellappa

Ashok Veeraraghavan的其他文献

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{{ truncateString('Ashok Veeraraghavan', 18)}}的其他基金

Collaborative Research: RI: Medium: Thermal Computational Imaging
合作研究:RI:媒介:热计算成像
  • 批准号:
    2107313
  • 财政年份:
    2021
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: CNS Core: Medium: OneDegree: Foundations and Methods for Imaging in mmWave Wireless Networks
合作研究:CNS 核心:Medium:OneDegree:毫米波无线网络成像的基础和方法
  • 批准号:
    1956297
  • 财政年份:
    2020
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
SaTC: CORE: Medium: Collaborative: Presentation-attack-robust biometrics systems via computational imaging of physiology and materials
SaTC:核心:中:协作:通过生理学和材料的计算成像实现演示攻击鲁棒生物识别系统
  • 批准号:
    1801372
  • 财政年份:
    2018
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CAREER: A Signal Processing Framework for Computational Imaging: From Theory to Applications
职业:计算成像信号处理框架:从理论到应用
  • 批准号:
    1652633
  • 财政年份:
    2017
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
EAGER: Fabrication of Thin, Lens-Free Cameras for Visible and SWIR Imaging
EAGER:制造用于可见光和短波红外成像的薄型无镜头相机
  • 批准号:
    1502875
  • 财政年份:
    2015
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CIF: Small: Computational Tools for Visual Inference of Complex Materials
CIF:小型:复杂材料视觉推理的计算工具
  • 批准号:
    1117939
  • 财政年份:
    2011
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CGV: Small: Collaborative Research: AdaCID: Adaptive Coded Imaging and Displays
CGV:小型:协作研究:AdaCID:自适应编码成像和显示
  • 批准号:
    1116718
  • 财政年份:
    2011
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

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我们如何利用一个或多个计算能力强大的虚拟机器人来创建蜂巢思维网络,以更好地协调多机器人团队?
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