Near-infrared fluorescence image quality test methods for standardized performance evaluation
Near-infrared fluorescence image quality test methods for standardized performance evaluation
复制标题
标准化性能评价的近红外荧光图像质量测试方法
DOI：
10.1117/12.2255867
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
Pfefer, Joshua
中科院分区：
文献类型：
--
作者：
Raghavachari, Ramesh;Liang, Rongguang;Pfefer, T. Joshua;Kanniyappan, Udayakumar;Wang, Bohan;Yang, Charles;Ghassemi, Pejhman;Wang, Quanzeng;Chen, Yu;Pfefer, Joshua
近红外荧光 (NIRF) 成像作为一种在手术应用中增强癌症、灌注和生物结构可视化的临床方法而受到广泛关注，其中荧光染料由成像系统监测。为了满足这种创新技术标准化的新兴需求，有必要开发和验证适合客观、定量评估设备性能的测试方法。为了实现这一目标，我们开发了基于目标的测试方法，并研究了关键 NIRF 成像系统性能特征（包括空间分辨率、景深和灵敏度）的最佳实践。通过在生物溶液和基质材料中产生吲哚菁绿和量子点的激发-发射基质特性来表征荧光特性。使用浑浊的、荧光团掺杂的目标以及用于评估图像清晰度的分辨率目标。生成填充有液体或固体靶标的多孔板，以探索评估检测灵敏度的最佳实践。总体而言，我们的结果证明了客观、定量、基于目标的测试方法的实用性，以及在建立 NIRF 成像系统性能标准化方法时需要考虑各种因素。
Near-infrared fluorescence (NIRF) imaging has gained much attention as a clinical method for enhancing visualization of cancers, perfusion and biological structures in surgical applications where a fluorescent dye is monitored by an imaging system. In order to address the emerging need for standardization of this innovative technology, it is necessary to develop and validate test methods suitable for objective, quantitative assessment of device performance. Towards this goal, we develop target-based test methods and investigate best practices for key NIRF imaging system performance characteristics including spatial resolution, depth of field and sensitivity. Characterization of fluorescence properties was performed by generating excitation-emission matrix properties of indocyanine green and quantum dots in biological solutions and matrix materials. A turbid, fluorophore-doped target was used, along with a resolution target for assessing image sharpness. Multi-well plates filled with either liquid or solid targets were generated to explore best practices for evaluating detection sensitivity. Overall, our results demonstrate the utility of objective, quantitative, target-based testing approaches as well as the need to consider a wide range of factors in establishing standardized approaches for NIRF imaging system performance.
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