NSF/FDA SIR: Quantitative Characterization of Innovative Near-infrared Fluorescence Imaging Systems

题目：创新近红外荧光成像系统的定量表征提案：1445701意义：关于近红外荧光图像质量评估的最佳方法的见解将远远超出术中成像的主要焦点，应用于视网膜血管造影和使用荧光染料的淋巴成像。标准化测试方法的发展也将对光学分子成像的新兴领域产生重大影响，通过促进设备开发和相互比较，临床翻译和监管审批。此外，拟议的研究将与教育、指导和推广活动无缝整合，以推进马里兰大学（UMD）和FDA在生物光子学成像和监管科学领域的跨学科项目。UMD最近被FDA授予监管科学与创新卓越中心（CERSI）。拟议的研究将进一步加强UMD和FDA之间的研究和教育合作。技术描述本提案旨在开发和验证一系列新的基于幽灵的测试方法，用于荧光成像仪器的标准化，定量评估。这项工作的组成部分将包括：1)近红外荧光系统的开发和潜在幻相成分材料的表征；2)开发用于分辨率和照明/检测均匀性评估的模型，以及对比度-细节分析和低对比度可检测性；3)研究利用三维（3D）打印产生基于常规几何形状的荧光幻影以及基于图像体积复制真实组织形态的仿生幻影的潜力。

PI: Chen, YuProposal: 1445701Title: Quantitative Characterization of Innovative Near-infrared Fluorescence Imaging SystemsSignificanceInsights gained regarding optimal methods for NIR fluorescence image quality assessment will be relevant well beyond the primary focus of intraoperative imaging, to applications such as retinal angiography and lymphatic imaging using fluorescent dyes. Development of standardized test methods will also have a significant impact on the emerging field of optical molecular imaging, by facilitate device development and intercomparison, clinical translation and regulatory clearance. Furthermore, the proposed research will be seamlessly integrated with educational, mentoring, and outreach activities to advance the cross-disciplinary program in the field of Biophotonics Imaging and regulatory science at the University of Maryland (UMD) and FDA. UMD was recently awarded as the Center for Excellence in Regulatory Science and Innovation (CERSI) by FDA. The proposed research will further strengthen the research and education collaboration between UMD and FDA.Technical DescriptionThis proposal aims to develop and validate a series of novel phantom-based test methods for standardized, quantitative assessment of fluorescence imaging instruments. The components of this work will include: 1) Development of NIR fluorescence systems and characterization of potential phantom constituent materials; 2) Development of phantoms for evaluation of resolution and illumination/detection uniformity, as well as the contrast-detail analysis and low-contrast detectability; 3) Investigation of the potential to use three-dimensional (3D) printing to generate fluorescence phantoms based on conventional-geometries as well as biomimetic phantoms based on image volumes to replicate realistic tissue morphology.