Ocular Blood Flow Imaging for Glaucoma Assessment

摘要 我们的母公司第二阶段SBIR项目寻求开发有效的青光眼诊断解决方案， 这是美国和全球成人失明的主要原因之一。特定的 所承担的任务是使用我们专有的XyCAM收集眼部血流数据 来自青光眼诊所的150名受试者在基线和高氧后的技术， 以及随后对获取的数据进行分析以识别用于早期诊断的生物标记物 青光眼。特别是，该计划将评估我们的方法在多达30个科目中的适用性。 高度近视(屈光度大于6度)。我们要求这样做 对父母拨款的行政补充，以克服某些数据分析挑战， 自从我们开始这个项目以来，已经很明显了。其中值得注意的是需要 XyCAM采集的数据与其他仪器采集的数据的登记，以及 到XyCAM在其他时间点(如高氧后)采集的数据，以便数据 可以在区域一级以可靠和标准化的方式进行分析。我们建议 利用计算机视觉和机器学习开发某些自动化技术 支持对本研究期间收集的大量数据进行分析的方法。在……里面 除了这些拟议的活动在短期内促进项目目标外，我们还预计 所开发的软件将被证明在未来更广泛地用于多模式或 XyCAM产生的眼血流数据的纵向比较。

ABSTRACT Our parent Phase II SBIR project seeks to develop effective diagnostic solutions for glaucoma, which is one of the leading causes of adult blindness in the United States and globally. Specific tasks undertaken are the collection of ocular blood flow data using our proprietary XyCAM technology from 150 human subjects in the glaucoma clinic at baseline and following hyperoxia, and the subsequent analysis of acquired data to identify biomarkers for early diagnosis of glaucoma. In particular, the plan is to evaluate the suitability of our approach in up to 30 subjects with a high degree of myopia (refractive error of more than 6 Diopters). We are requesting this administrative supplement to the parent grant to overcome certain data analysis challenges that have become apparent since we started the project. Notable among these is the need for registration of data acquired by the XyCAM to the data acquired by other instruments, and also to the data acquired by the XyCAM at other time points (such as post-hyperoxia) so that data analysis can be conducted at a regional level in a reliable and standardized manner. We propose to develop certain automated techniques by utilizing computer vision and machine learning approaches to support analyses of large volumes of data as will be collected during this study. In addition to these proposed activities facilitating project goals in the short term, we also anticipate that the developed software will prove useful more broadly in the future for multi-modal or longitudinal comparison of XyCAM-generated ocular blood flow data.