Photoreceptor Integrity Software

感光器完整性软件

• 批准号: 8311455
• 负责人: TIMOTHY J HOLMES
• 金额: $ 14.83万
• 依托单位: LICKENBROCK TECHNOLOGIES, LLC
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8311455
• 关键词: Address; Affect; Age related macular degeneration; Algorithms; American; Appearance; Automation; Blindness; Choroid; Clinic; Clinical; Computer software; Data; Data Set; Detection; Development; Disease; Elements; Eye; Face; Functional disorder; Future; Image; Imagery; Link; Manuals; Measurement; Measures; Membrane; Optical Coherence Tomography; Optics; Pathologic; Patients; Phase; Photoreceptors; Physiology; Process; Research; Research Personnel; Retina; Retinal; Retinitis Pigmentosa; Role; Specialist; Structure of retinal pigment epithelium; Surface; Technology; Telangiectasis; Testing; Time; Vision; Work; design; geographic atrophy; human subject; innovation; macula; novel; operation; prototype; research clinical testing; study characteristics; tool

DESCRIPTION (provided by applicant): This research will have a significant and potentially broad impact on reducing blindness and vision loss of Americans. Many predominant eye conditions, associated with blindness and vision loss, disturb and compromise the photoreceptors. This research will enable researchers to study the characteristics, causes and future treatments of diseases and conditions that affect photoreceptors. The ensuing software product will produce images of the photoreceptor- integrity layer (PIL), and related nearby layers, which are endogenous markers of the photoreceptors and are linked to many predominant blinding diseases. The software will be sold initially to researchers of the causes and treatments of these diseases and, later, it will be aimed at clinical use, for evaluating conditions to manage treatments. The Phase I project involves the study and development of algorithms and software that produce images and measurements from optical coherence tomography in and near the photoreceptor layer - starting most notably with the PIL that is traditionally thought to represent the inner-segment/outer-segment junction and is a component of the photoreceptors. These layers are connected physically and physiologically to the photoreceptors, so their compromise affects vision loss in many predominant conditions such as age-related macular degeneration, geographic atrophy and retinitis pigmentosa. The software will help researchers characterize and study the progression and pathophysiology of these conditions. It will provide objective measures for practitioners to evaluate these conditions to manage treatment. The most important novelties are: (1) It will have full automation, with no manual operations needed, which is essential for practitioners. (2) A unique set of images and measures are defined for research and practical clinical use. (3) A novel mathematical approach that involves, for the first time, 3D active surface contours and a novel optimization function designed by our group. (4) It will be the first commercial product with this functionality. Easy-to use images and measures are aimed at the dual role of a research tool and a clinical evaluation tool where workflow is important. This commercial aim causes many challenges that will drive further innovations of the algorithms and software. The Phase I project will focus on the first prototype algorithms and approaches to producing images and measurements, in order to demonstrate the feasibility of the technology. Measurements include those of parameters that could reflect any compromise of the PIL. Feasibility will be defined by showing that these measures show a difference between normal and disease cases. Phase II will involve algorithms and images for studying other layers besides the PIL layer that are connected physiologically and physically to the photoreceptors, including the retinal pigment epithelium and external limiting membrane. The detection and visualization of other layers in the retina and choroid will be a natural fallout of this work, so the end product will have a wealth of functionalty demanded by the customers, besides imaging and measurement of layers relevant to the photoreceptors, although the focus and aim of the Phase I and Phase II work will be associated with the photoreceptors. PUBLIC HEALTH RELEVANCE: This research will have a significant and potentially broad impact on reducing blindness and vision loss of Americans. Many predominant eye conditions that cause blindness and vision loss are accompanied by compromised photoreceptors. This research will enable researchers to study the characteristics, causes and future treatments of diseases and conditions that affect photoreceptors. The ensuing software product will produce images of the photoreceptor- integrity layer (PIL), and related nearby layers, which are endogenous markers of the photoreceptors and are linked to many predominant blinding diseases. The software will be sold initially to researchers of the causes and treatments of these diseases and, later, it will be aimed at clinical use, for evaluating conditions to manage treatments. The theme of this project is the study and development of algorithms and software that produce measurements and images from optical coherence tomography (OCT) retinal layers associated with the photoreceptors - most notably and initially the photoreceptor-integrity layer (PIL). The software is intended for studying, characterizing and managing treatment of conditions that disturb the photoreceptors. The disturbance of the PIL and these other layers (e.g., retinal pigment epithelium and external limiting membrane), because they are connected physically and physiologically to the photoreceptors (photosensitive elements of the eye), affect vision in common blinding diseases and conditions such as age- related macular degeneration (AMD), geographic atrophy (a condition of AMD), retinitis pigmentosa, macular telangiectasia and others. The software's earliest version will have tools for researchers to characterize and study the progression and physiology of these conditions. A later version will provide objective images and measures for practitioners to evaluate these conditions and manage treatment. The software product will produce easy-to-understand measures specifically aimed at the dual role of a research tool and a clinical evaluation tool where workflow of the clinic is important. A prototype will be produced that leads to a commercial software package that is easy to use by many researchers and practitioners.

描述（由申请人提供）：这项研究将对减少美国人的失明和视力丧失产生重大且潜在广泛的影响。许多与失明和视力丧失相关的主要眼部疾病会干扰和损害光感受器。这项研究将使研究人员能够研究影响光感受器的疾病和病症的特征、原因和未来的治疗方法。随后的软件产品将生成光感受器完整性层（PIL）和相关附近层的图像，这些层是光感受器的内源性标记，与许多主要的致盲疾病有关。该软件最初将出售给研究这些疾病的原因和治疗方法的研究人员，随后将面向临床使用，用于评估病情以管理治疗。第一阶段项目涉及算法和软件的研究和开发，这些算法和软件通过光感受器层内部和附近的光学相干断层扫描生成图像和测量结果 - 最引人注目的是从传统上被认为代表内段/外段连接处的 PIL 开始是光感受器的组成部分。这些层在物理和生理上与光感受器相连，因此它们的损害会影响许多主要疾病的视力丧失，例如年龄相关性黄斑变性、地理萎缩和色素性视网膜炎。该软件将帮助研究人员描述和研究这些疾病的进展和病理生理学。它将为从业者提供客观的措施来评估这些状况以管理治疗。最重要的创新点是：（1）它将完全自动化，无需手动操作，这对从业者来说是必不可少的。 (2) 为研究和临床实际应用定义了一套独特的图像和测量方法。 (3) 一种新颖的数学方法，首次涉及 3D 活动表面轮廓和我们团队设计的新颖的优化函数。 (4) 它将是第一个具有此功能的商业产品。容易上手 使用图像和测量旨在发挥研究工具和临床评估工具的双重作用，其中工作流程非常重要。这一商业目标带来了许多挑战，将推动算法和软件的进一步创新。第一阶段项目将重点关注第一个原型算法以及生成图像和测量的方法，以证明该技术的可行性。测量包括可能反映 PIL 任何损害的参数。可行性将通过证明这些措施显示正常病例和疾病病例之间的差异来定义。第二阶段将涉及用于研究除 PIL 层之外的其他层的算法和图像，这些层在生理和物理上与光感受器相连，包括视网膜色素上皮和外界膜。视网膜和脉络膜中其他层的检测和可视化将是这项工作的自然结果，因此，除了与感光器相关的层的成像和测量之外，最终产品还将具有客户所需的丰富功能，尽管重点第一阶段和第二阶段工作的目标将与感光器相关。 公共健康相关性：这项研究将对减少美国人的失明和视力丧失产生重大且潜在广泛的影响。许多导致失明和视力丧失的主要眼部疾病都伴随着光感受器受损。这项研究将使研究人员能够研究影响光感受器的疾病和病症的特征、原因和未来的治疗方法。随后的软件产品将生成光感受器完整性层（PIL）和相关附近层的图像，这些层是光感受器的内源性标记，与许多主要的致盲疾病有关。该软件最初将出售给研究这些疾病的原因和治疗方法的研究人员，随后将面向临床使用，用于评估病情以管理治疗。该项目的主题是研究和开发算法和软件，这些算法和软件可从与光感受器相关的光学相干断层扫描 (OCT) 视网膜层（最显着且最初是光感受器完整性层 (PIL)）产生测量结果和图像。该软件旨在研究、描述和管理干扰光感受器的病症的治疗。 PIL 和这些其他层（例如视网膜色素上皮和外界膜）的紊乱，因为它们在物理和生理上与光感受器（眼睛的光敏元件）相连，会影响常见致盲疾病和病症（例如年龄）的视力- 相关黄斑变性 (AMD)、地图样萎缩（AMD 的一种病症）、色素性视网膜炎、黄斑毛细血管扩张等。该软件的最早版本将为研究人员提供工具来表征和研究这些病症的进展和生理学。后续版本将为从业者提供客观的图像和措施来评估这些状况并管理治疗。该软件产品将产生易于理解的措施，专门针对研究工具和临床评估工具的双重作用，其中诊所的工作流程非常重要。将生产一个原型，该原型将形成一个易于许多研究人员和从业者使用的商业软件包。