Lowering the Cost of Imaging for Retinal Microvasculature in Diabetic Patients

降低糖尿病患者视网膜微血管成像的成本

• 批准号: 8903059
• 负责人: ANN E ELSNER
• 金额: $ 22.15万
• 依托单位: AEON IMAGING, LLC
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8903059
• 关键词: Algorithmic Software; Benchmarking; Biological Markers; Blood; Blood Vessels; Blood capillaries; Blood-Retinal Barrier; Burn injury; Clinic; Clinical; Computer software; Cone; Custom; Detection; Development; Devices; Edema; Equipment; Eye; Failure; Financial compensation; Goals; Health; Healthcare; High-Cost Technology; Human; Image; Imaging Device; Indiana; Individual Differences; Institution; Insulin-Dependent Diabetes Mellitus; Lasers; Lead; Light; Maps; Measures; Methodology; Methods; Microcirculation; Ophthalmoscopes; Optics; Patients; Performance; Perfusion; Phase; Procedures; Publishing; Pump; Pupil; Research; Resolution; Retina; Retinal; Retinal Cone; Risk; Scanning; Series; Structure of retinal pigment epithelium; System; Techniques; Technology; Testing; Time; Universities; Vision; adaptive optics; capillary; contrast imaging; cost; density; design; diabetic; diabetic patient; digital; flexibility; fovea centralis; image processing; improved; in vivo imaging; light scattering; novel; older patient; optical imaging; particle; public health relevance; sensor; Algorithmic Software; Benchmarking; Biological Markers; Blood; Blood Vessels; Blood capillaries; Blood-Retinal Barrier; Burn injury; Clinic; Clinical; Computer software; Cone; Custom; Detection; Development; Devices; Edema; Equipment; Eye; Failure; Financial compensation; Goals; Health; Healthcare; High-Cost Technology; Human; Image; Imaging Device; Indiana; Individual Differences; Institution; Insulin-Dependent Diabetes Mellitus; Lasers; Lead; Light; Maps; Measures; Methodology; Methods; Microcirculation; Ophthalmoscopes; Optics; Patients; Performance; Perfusion; Phase; Procedures; Publishing; Pump; Pupil; Research; Resolution; Retina; Retinal; Retinal Cone; Risk; Scanning; Series; Structure of retinal pigment epithelium; System; Techniques; Technology; Testing; Time; Universities; Vision; adaptive optics; capillary; contrast imaging; cost; density; design; diabetic; diabetic patient; digital; flexibility; fovea centralis; image processing; improved; in vivo imaging; light scattering; novel; older patient; optical imaging; particle; public health relevance; sensor

 DESCRIPTION (provided by applicant): Recently, we found extensive remodeling of the microvasculature of the retina, occurring in some diabetic patients much earlier than expected. This provides the potential for novel biomarkers. However, the equipment is too expensive for most clinics and small practices. These early retinal microvascular changes cannot be seen with routine clinical examination or traditional imaging devices. We propose to reduce the cost and improve ease of use of this technology to allow widespread detection of retinal microvascular changes as biomarkers. Part of the high cost of these devices is the adaptive optics (AO) subsystem, which is deformable mirrors needed to provide compensation for the aberrations of the optics of the human eye. By planning for high resolution, but less than diffraction limited resolution, a wider field of view and less extreme deformable mirror performance can be realized. The important capillary changes will be nevertheless visualized in the retina. We propose 3 Aims. In Aim 1, we will optimize a lower cost retinal imager, the Digital Light Ophthalmoscope (DLO), for high magnification and high contrast imaging that is sufficient to visualize retinal capillaries and cones outside the central fovea. Aeon will build a DLO with a mid- size for the field of view, which provides an image sufficiently large to show capillary networks in a single image, with the capillaries and cones being better visualized following image processing. This also more readily allows the montaging of AO images taken sequentially for this Phase I proposal. In Aim 2, we will develop the AO subsystem for the AO-DLO to correct aberrations of the human eye, so that the high resolution images are high contrast. We will use a commercially available, visible wavelength deformable mirror and adapt the custom AO sensor and control techniques from existing, custom software. These Hartman Shack control algorithms and software are published and have been shared with other institutions. One key feature is the ability to use a smaller region of the pupil in older subjects. In Aim 3, we wil develop an AO-DLO by integrating AO with the DLO, and map the microcirculation of the retina in 10 normal subjects. We will compare the capillary perfusion maps to corresponding maps from the AO Scanning Laser Ophthalmoscope (AO-SLO), that was used discover the retinal microvascular changes. For both AO-DLO and AO-SLO, we will produce capillary maps by collecting a series of images from the AO-DLO, aligning them, and plotting the variance of scaled images. This is possible because the moving blood particles lead to differing amounts of reflectivity over time, whereas the remaining retinal reflectivity is relatively unchanged in the wavelength range that we use. Then we will compare the test-retest of the capillary maps for each device vs. the comparison of the two devices.

 描述（由适用提供）：最近，我们发现了视网膜微脉管系统的大量重塑，在某些糖尿病患者中发生比预期的要早得多。这为新型生物标志物提供了潜力。但是，对于大多数诊所和小型实践，设备太昂贵了。这些早期的视网膜微血管变化无法通过常规临床检查或传统成像装置看到。我们建议降低成本并提高该技术的易用性，以允许将视网膜微血管变化作为生物标志物进行宽度检测。这些设备的高成本的一部分是自适应光学（AO）子系统，这是为人眼光学的畸变提供补偿所需的可变形镜。通过计划高分辨率，但少于衍射有限的分辨率，可以实现广阔的视野和较不可变形的镜像性能。但是，重要的毛细管变化将是我们提出的3个目标。在AIM 1中，我们将优化较低的成本剩余成像仪，即数字光眼镜（DLO），用于高放大倍率和高对比度成像，足以可视化中央凹内部外部外部外部的视网膜毛细血管和锥体。 AEON将构建一个具有中间尺寸的DLO，以用于视野，该图像提供了足够大的图像，可以在单个图像中显示毛细血管网络，而毛细管和锥体在图像处理后可以更好地可视化。这也更容易地允许在此阶段I提案中顺序拍摄的AO图像。在AIM 2中，我们将为AO-DLO开发AO子系统以纠正人眼的畸变，从而使高分辨率图像具有很高的对比度。我们将使用市售，可见的波长变形镜，并从现有的自定义软件中调整自定义AO传感器和控制技术。这些Hartman Shack控制算法和软件已发布，并已与其他机构共享。一个关键特征是能够在较老的受试者中使用较小的学生区域。在AIM 3中，我们将通过将AO与DLO集成，并在10个正常受试者中绘制视网膜的微循环来开发AO-DLO。我们将比较毛细血管灌注图与AO扫描激光眼镜（AO-SLO）的相应图，该图被发现发现视网膜微血管变化。对于AO-DLO和AO-SLO，我们将通过从AO-DLO中收集一系列图像，对齐它们并绘制缩放图像的方差来产生毛细管图。这是可能的，因为随着时间的流逝，移动的血液颗粒会导致不同量的反射率，而在我们使用的波长范围内，其余的视网膜反射率相对不变。然后，我们将比较每个设备与两个设备的比较的毛细管图的重测。