New Techniques for Measuring Volumetric Structural Changes in Glaucoma

摘要 此K99/R 00应用程序支持计算数学和计算机方面的额外研究培训 这将使Madhusudhanan Balasubramanian博士-申请人，成为一个独立的 计算眼科学的多学科研究者。具体来说，在K99培训阶段， Balasubramanian博士将在琳达Zangwill博士的指导下在加州大学圣地亚哥分校接受培训， 在眼科建立了青光眼临床研究员，以及一个团队的合作， 导师，包括，迈克尔霍尔斯特博士从数学系和中心的共同主任， 计算数学，以及计算科学，数学和工程的联合主任， 博士计算机科学与工程部的大卫克里格曼。培训将通过正式的 课程作业，动手实验室培训，指导研究，咨询委员会的进度审查，访问 与研究人员合作，定期参加研讨会和讲习班。下一个R 00 独立研究阶段涉及应用Balasubramanian博士新获得的计算 从光学系统的光学图像中识别随着时间的推移的昏迷性变化的困难任务 神经头和视网膜神经纤维层。 进行性视神经病变的存在是目前最好的金标准， 青光眼诊断共焦扫描激光检眼镜（CSL 0）和光谱域光学 相干断层扫描（SD-OCT）是两种可用于监测光学系统的光学成像仪器。 青光眼的诊断和治疗目前，一些统计和计算 技术可用于从CSL 0检查中检测局部脑水肿变化。SD-OCT是一种 基于光学干涉原理的新一代眼科成像仪。相比 利用CSLO技术，SDOCT可以通过内界膜（ILM） Bruch膜，可以以非常高的分辨率捕获视神经乳头的3D结构。 这些高分辨率、高维度的体积扫描将数据复杂性提高到了一个新的水平， 青光眼进展分析之前，因此，强大的（高性能）计算技术 需要充分利用高精度视网膜测量用于青光眼诊断。核心重点 在K99辅导阶段的应用程序将在1）开发计算和 从SDOCT中检测视网膜各层结构性青光眼变化的统计技术 扫描，以及2）开发青光眼管理的新研究途径，其中视网膜层应变 将进行非侵入性评估，以表征昏迷进展。在R 00独立阶段， 具体目标集中于开发1）用于检测体积的统计和计算技术 使用3-D SD-OCT体积扫描的颅内血肿随时间的变化，以及2）计算框架， 从标准SD-OCT扫描中估计全视野3D体积应变。

ABSTRACT This K99/R00 application supports additional research training in computational mathematics and computer vision which will enable Dr. Madhusudhanan Balasubramanian-the applicant, to become an independent multidisciplinary investigator in computational ophthalmology. Specifically, in the K99 training phase of this grant, Dr. Balasubramanian will train at UC San Diego under the direction of Linda Zangwill PhD, an established glaucoma clinical researcher in the Department of Ophthalmology, as well as a team of co- mentors, including, Dr. Michael Holst from the Department of Mathematics and co-director for the Center for Computational Mathematics, and co-director of the Comptutational Science, Mathematics and Engineering and Dr. David Kriegman from Computer Science and Engineering. Training will be conducted via formal coursework, hands-on lab training, mentored research, progress review by an advisory committee, visiting collaborating researchers and regular attendance at seminars and workshops. The subsequent R00 independent research phase involves applying Dr. Balasubramanian's newly acquired computational techniques to the difficult task of identifying glaucomatous change over time from optical images of the optic nerve head and retinal nerve fiber layer. A documented presence of progressive optic neuropathy is the best gold standard currently available for glaucoma diagnosis. Confocal Scanning Laser Ophthalmoscope (CSLO) and Spectral Domain Optical Coherence Tomography (SD-OCT) are two of the optical imaging instruments available for monitoring the optic nerve head health in glaucoma diagnosis and management. Currently, several statistical and computational techniques are available for detecting localized glaucomatous changes from the CSLO exams. SD-OCT is a new generation ophthalmic imaging instrument based on the principle of optical interferometry. In contrast to the CSLO technology, SDOCT can resolve retinal layers from the internal limiting membrane (ILM) through the Bruch's membrane and can capture the 3-D architecture of the optic nerve head at a very high resolution. These high-resolution, high-dimensional volume scans introduce a new level of data complexity not seen in glaucoma progression analysis before and therefore, powerful (high-performance) computational techniques are required to fully utilize the high precision retinal measurements for glaucoma diagnosis. The central focus of this application in the K99 mentored phase of the application will be in 1) developing computational and statistical techniques for detecting structural glaucomatous changes in various retinal layers from the SDOCT scans, and 2) developing a new avenue of research in glaucoma management where in strain in retinal layers will be estimated non-invasively to characterize glaucomatous progression. In the R00 independent phase, the specific aims focus on developing 1) statistical and computational techniques for detecting volumetric glaucomatous change over time using 3-D SD-OCT volume scans and 2) a computational framework to estimate full-field 3-D volumetric strain from the standard SD-OCT scans.