Glaucoma Assessment Using A Multimodality Image Analysis Approach

使用多模态图像分析方法进行青光眼评估

• 批准号: 8838199
• 负责人: MONA K. GARVIN
• 金额: --
• 依托单位: IOWA CITY VA MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-01 至 2015-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8838199
• 关键词: Address; Age; Area; Blindness; Blood Vessels; Cities; Clinical; Development Plans; Diagnosis; Diagnostic; Disease; Disease Progression; Engineering; Eye; Faculty; Fundus; Fundus photography; Ganglion Cell Layer; Glaucoma; Goals; Image; Image Analysis; Iowa; K-Series Research Career Programs; Knowledge; Length; Measurement; Measures; Methodology; Modality; Neural Canal; Optic Disk; Optical Coherence Tomography; Population; Prevention; Refractive Errors; Reproducibility; Research; Research Personnel; Retina; Retinal; Staging; Systemic disease; Techniques; Thick; Tissues; Training; Veterans; Work; base; career; career development; design; experience; ganglion cell; imaging modality; improved; interest; member; multimodality; novel; research and development; retinal nerve fiber layer; success

DESCRIPTION (provided by applicant) This Career Development Award-2 (CDA-2) is for supporting an early-career engineering faculty member for three years. It will provide the means to train a young researcher currently possessing broad image analysis experience and narrowly focused expertise in one ophthalmic imaging modality (optical coherence tomography, OCT) in a multitude of ophthalmic modalities and clinical areas, with a special focus on glaucoma. While the nominee has already demonstrated success as a member of interdisciplinary teams with VA clinicians and is an investigator associated with the Iowa City VA Center of Excellence for the Prevention and Treatment of Visual Loss, this CDA is specifically designed to enhance her ophthalmic clinical knowledge to enable her to develop into an ophthalmic image analysis expert with an unprecedented level of clinical understanding for an engineering-trained scholar and with the ability to contribute substantially to interdisciplinary translational and clinically oriented ophthalmic research of interest to veterans. Because of the current variability associated with standard functional measurements for the diagnosis and assessment of glaucoma, the research plan is designed to work towards obtaining better structural parameters to enable (1) improved diagnostic capabilities, (2) an objective basis for disease staging, and (3) an improved ability to measure disease progression. More specifically, with the overall hypothesis that the multimodal combination of information from stereo fundus photography and spectral-domain OCT (SD-OCT) will enable the discovery of less variable (across normal subjects) and more reproducible structural parameters relevant to the diagnosis, management, or understanding of glaucoma, the plan addresses the following specific aims: 7 Aim 1: Develop the novel multimodal methodology for obtaining less variable layer-thickness and more reproducible optic-nerve-head structural parameters for the assessment of glaucoma. - Aim 1a: Develop the methodology for simultaneously segmenting the blood vessels in fundus photographs and SD-OCT volumes. Refine the methodology for correcting the retinal nerve fiber layer thickness/volume and ganglion cell layer thickness/volume in SD-OCT volumes based on the presence of blood vessels derived from SD-OCT and/or fundus photography. Verify that such a correction results in a lower variability in regional thickness measurements across normal subjects. - Aim 1b: Develop the methodology for simultaneously segmenting the optic disc, neural canal opening, and cup in SD-OCT images and stereo fundus photographs. Compute the reproducibility of such measurements in normal eyes and in eyes with glaucoma. 7 Aim 2: Characterize the relationship between the inner layers of the retina and the outer layers of the retina in normal eyes and in eyes varying in refractive error, axial eye length, and age. Determine whether this relationship will enable reduced variability of inner retinal thickness measurements across normal subjects and better correlation of thickness parameters with disease status in glaucoma subjects. 7 Aim 3: Relate the thickness/volume of the inner retinal layer containing ganglion cells (corrected and uncorrected based on the presence of vessels) to a) the retinal nerve fiber layer thickness (corrected and uncorrected based on the presence of vessels) and b) the cross-sectional area of the rim tissue at the plane of the neural canal opening in normal and glaucoma subjects. In addition to its direct relevance to glaucoma, the image analysis methodology developed as part of the research plan will be relevant to telemedical applications and other ophthalmic (and systemic) diseases. This will thus enable further benefit for the veteran population and will set the stage for future research in these areas by the nominee.

描述（由申请人提供） 这个职业发展奖-2（CDA-2）是支持早期职业工程教师三年。 它将提供培训手段，目前拥有广泛的图像分析经验和狭隘的专业知识，在一个眼科成像模式（光学相干断层扫描，OCT）在众多的眼科模式和临床领域，特别是对青光眼的年轻研究人员。 虽然被提名者已经证明了成功的跨学科团队的成员与退伍军人管理局临床医生，是一个调查员与爱荷华州市退伍军人管理局卓越中心的预防和治疗视力丧失，该CDA专门设计用于增强她的眼科临床知识，使她能够发展成为眼科图像分析专家，对工程学具有前所未有的临床理解水平，训练有素的学者，并有能力为退伍军人感兴趣的跨学科翻译和临床导向的眼科研究做出实质性贡献。 由于目前与青光眼诊断和评估的标准功能测量相关的可变性，研究计划旨在获得更好的结构参数，以实现（1）提高诊断能力，（2）疾病分期的客观基础，以及（3）提高测量疾病进展的能力。 更具体地，总体假设来自立体眼底摄影和谱域OCT（SD-OCT）的信息的多模态组合将使得能够发现较少的变量。（跨正常受试者）和与青光眼的诊断、管理或理解相关的更可再现的结构参数，该计划解决了以下具体目标：开发新的多模式方法，以获得较少的可变层厚度和更可重复的视神经乳头结构参数，用于青光眼的评估。 - 目的1a：开发用于同时分割眼底照片和SD-OCT体积中的血管的方法。 根据SD-OCT和/或眼底摄影中是否存在血管，完善SD-OCT体积中视网膜神经纤维层厚度/体积和神经节细胞层厚度/体积的校正方法。 验证这种校正是否导致正常受试者局部厚度测量值的变异性较低。 - 目标1b：开发用于同时分割SD-OCT图像和立体眼底照片中的视盘、神经管开口和杯的方法。 计算正常眼和青光眼眼的重复性。 7目标2：描述正常眼睛和屈光不正、眼轴长度和年龄变化的眼睛中视网膜内层和视网膜外层之间的关系。 确定这种关系是否能够降低正常受试者视网膜内层厚度测量的变异性，以及青光眼受试者视网膜厚度参数与疾病状态的更好相关性。 7目标3：将包含神经节细胞的视网膜内层的厚度/体积（基于血管的存在校正和未校正）与a）视网膜神经纤维层厚度（基于血管的存在校正和未校正）和B）正常和青光眼受试者中神经管开口平面处边缘组织的横截面积相关联。 除了与青光眼直接相关外，作为研究计划一部分开发的图像分析方法将与远程医疗应用和其他眼科（和系统性）疾病相关。因此，这将使退伍军人群体进一步受益，并将为被提名人在这些领域的未来研究奠定基础。