DESIGN AND DEVELOPMENT OF A DESIGN TOOL FOR ENHANCED FLUORESCEIN ANGIOGRAPHY

增强荧光血管造影设计工具的设计和开发

• 批准号: 7609951
• 负责人: PRERNA SETHI
• 金额: $ 1.5万
• 依托单位: LOUISIANA STATE UNIV A&M COL BATON ROUGE
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-05-01 至 2008-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7609951
• 关键词: Blood Circulation; Blood Vessels; Color; Computer Retrieval of Information on Scientific Projects Database; Defect; Development; Diabetic Retinopathy; Diagnosis; Diagnostic; Disease; Excision; Exudate; Exudative age-related macular degeneration; Financial compensation; Fluorescein Angiography; Funding; Grant; Image; Image Enhancement; Imagery; Individual; Institution; Intravenous; Label; Lasers; Modeling; Noise; Ophthalmology; Optic Disk; Physiology; Procedures; Process; Research; Research Personnel; Resources; Retina; Retinal; Rotation; Series; Services; Slide; Source; Standards of Weights and Measures; Technology; Translations; United States National Institutes of Health; Visual; animation; base; computer framework; design; digital imaging; graphical user interface; human SMO protein; image registration; interest; lens; novel; rapid eye movement; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Intravenous Fluorescein Angiography (IVFA) is a well-established diagnostic tool which assists in planning laser treatments for ophthalmological disorders (e.g., neovascular age- related macular degeneration, diabetic retinopathy, and other disorders). The technology is a standard diagnostic tool required for all retina-related services offered by ophthalmology departments. IVFA produces a series of single frame, color filtered, monochrome views of the retinal circulation, where each individual frame is stored as a separate 35 mm slide or digital image. We present a novel computational framework with an interactive Graphical User Interface (GUI) that presents the series of processed, monochrome IVFA images as an animation. Due to cross-series inconsistencies caused by involuntary rapid eye movements, imaging from different angles, and lens distortion, the images should be registered in order to provide the best possible diagnosis of the IVFA procedure. The process involves four major computational step: a) image enhancement which identifies and replaces exudates and optic discs by average intensity pixel values in order to dismiss false alarms. Smoothening is then performed for noise removal, followed by contrast enhancement which aids in the sharpening of blood vessels for visual inspection; b) image registration is performed based on rigid body transforms. Compensation for rotation and translation is achieved with sub-pixel accuracy; c) the process is further reinforced by adding an informative false color to the registered image for discovery and interpretation of features of interest within retinal images. Labels are assigned to the connected objects in the image and then collected in the form of a matrix. The matrix is then converted into an RGB color image for ease of visualization; d) Graphical User Interface (GUI) will provide an autonomous view of the algorithmic results in an unified animated format. The developed computational framework provides easier viewing and inference of functional vascular defects by providing better models of retinal circulation and its physiology.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目及 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 静脉荧光素血管造影（IVFA）是一种成熟的诊断工具，有助于规划眼科疾病（例如新生血管性年龄相关性黄斑变性、糖尿病性视网膜病变和其他疾病）的激光治疗。该技术是眼科提供的所有视网膜相关服务所需的标准诊断工具。 IVFA 生成一系列单帧、滤色、单色的视网膜循环视图，其中每个单独的帧都存储为单独的 35 毫米幻灯片或数字图像。我们提出了一种新颖的计算框架，具有交互式图形用户界面（GUI），以动画形式呈现一系列经过处理的单色 IVFA 图像。由于不自觉的快速眼球运动、不同角度的成像以及镜头畸变导致的跨系列不一致，因此应该对图像进行配准，以便为 IVFA 手术提供最佳的诊断。 该过程涉及四个主要计算步骤：a）图像增强，通过平均强度像素值识别和替换渗出物和视盘，以消除误报。然后进行平滑处理以消除噪声，然后进行对比度增强，这有助于锐化血管以进行目视检查； b) 基于刚体变换进行图像配准。以亚像素精度实现旋转和平移补偿； c) 通过向配准图像添加信息丰富的假色来进一步强化该过程，以发现和解释视网膜图像中感兴趣的特征。标签被分配给图像中的连接对象，然后以矩阵的形式收集。然后将矩阵转换为 RGB 彩色图像，以便于可视化； d) 图形用户界面（GUI）将以统一的动画格式提供算法结果的自主视图。开发的计算框架通过提供更好的视网膜循环及其生理学模型，可以更轻松地查看和推断功能性血管缺陷。