New Techniques for Measuring Volumetric Structural Changes in Glaucoma

测量青光眼体积结构变化的新技术

• 批准号: 8786916
• 负责人: Madhusudhanan Balasubramanian
• 金额: $ 24.9万
• 依托单位: UNIVERSITY OF MEMPHIS
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8786916
• 关键词: 3-Dimensional; Address; Advisory Committees; Affect; Architecture; Area; Biology; Blindness; Brain imaging; Bruch' s basal membrane structure; Cardiology; Clinic; Clinical; Complex; Computational Technique; Computer Vision Systems; Confocal Microscopy; Data; Data Set; Detection; Development; Diagnosis; Diagnostic; Disease Progression; Doctor of Philosophy; Educational workshop; Elements; Engineering; Eye; Functional disorder; Gastroenterology; Generations; Genetic screening method; Glaucoma; Goals; Gold; Grant; Health; Image; Interferometry; Lasers; Lead; Left; Mathematics; Measurement; Measures; Medicine; Membrane; Mentors; Methodology; Modeling; Monitor; National Eye Institute; National Institute of Biomedical Imaging and Bioengineering; Onset of illness; Ophthalmology; Ophthalmoscopes; Ophthalmoscopy; Optic Disk; Optical Coherence Tomography; Optics; Outcome; Patients; Performance; Phase; Principal Investigator; Recommendation; Research; Research Personnel; Research Training; Resolution; Retinal; Scanning; Science; Sensitivity and Specificity; Structure; Surface; Techniques; Technology; Time; Training; Treatment Effectiveness; Treatment Protocols; Validation; Vision; Vision research; Visit; analytical tool; base; bioimaging; blood flow measurement; cancer imaging; computer framework; computer science; cost; diagnostic accuracy; improved; instrument; mathematical sciences; medical specialties; multidisciplinary; optic nerve disorder; optical imaging; prevent; programs; retinal nerve fiber layer; symposium; time use

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.

抽象的 此K99/R00应用程序支持计算数学和计算机的其他研究培训 愿景将使Madhusudhanan Balasubramanian-申请人成为独立的愿景 计算眼科学的多学科研究者。具体而言，在K99训练阶段 格兰特·巴拉斯巴拉曼（Balasubramanian）博士将在圣地亚哥分校的训练下 在眼科系建立了青光眼的临床研究人员，以及一个共同的团队 导师，包括数学系的迈克尔·霍尔斯特博士和中心的联合主任 计算数学，以及综合科学，数学与工程学的联合指导 来自计算机科学与工程学的David Kriegman博士。培训将通过正式进行 课程工作，动手实验室培训，指导研究，咨询委员会的进度审查，访问 合作研究人员并定期参加研讨会和研讨会。随后的R00 独立的研究阶段涉及应用Balasubramanian博士新获得的计算 从光学的光学图像随着时间的流逝，识别青光眼变化的艰巨任务的技术 神经头和视网膜神经纤维层。 进行性视神经病的有记录的存在是目前可用于的最佳黄金标准 青光眼诊断。共聚焦扫描激光眼镜（CSLO）和光谱域光学 相干断层扫描（SD-OCT）是可用于监视光学的两种光学成像仪器 青光眼诊断和管理中的神经头健康。目前，几个统计和计算 技术可用于检测CSLO考试中局部的青光眼变化。 SD-OCT是一个 基于光学干涉原理的新一代眼科成像仪器。与 CSLO技术SDOCT可以通过内部限制膜（ILM）解决视网膜层 Bruch的膜，可以以很高的分辨率捕获视神经头的3-D体系结构。 这些高分辨率，高维量扫描引入了在 青光眼进展分析之前，因此是强大的（高性能）计算技术 需要充分利用高精度的视网膜测量值进行青光眼诊断。中心重点 在应用程序的K99指导阶段，该应用程序将在1）开发计算和 用于检测SDOCT各种视网膜层的结构青光眼变化的统计技术 扫描和2）发展青光眼管理研究的新途径 将无创估计以表征青光眼进展。在R00独立阶段， 具体目的是开发1）用于检测体积的统计和计算技术 使用3-D SD-OCT音量扫描和2）计算框架随着时间的流逝而变化。 从标准的SD-OCT扫描中估计全场3-D体积应变。