Performance test methods for near-infrared fluorescence imaging
Performance test methods for near-infrared fluorescence imaging
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DOI：
10.1002/mp.14189
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发表时间：
2020-06-01
期刊：
影响因子：
3.8
通讯作者：
Pfefer, T. Joshua
中科院分区：
文献类型：
--
作者：
Kanniyappan, Udayakumar;Wang, Bohan;Pfefer, T. Joshua
目的 使用外源对比的近红外荧光 (NIRF) 成像作为一种使用非靶向药物增强脉管系统可视化以及使用靶向药物检测和定位癌症的技术而受到广泛关注。为了满足 NIRF 成像技术标准化的新需求，有必要确定适合关键图像质量特征的客观、定量测试的最佳实践。为了开发一系列严格但适用于各种设备的测试方法，我们评估了模型设计、测量和特定性能指标计算的技术。方法使用 NIRF 成像系统进行吲哚菁绿成像，在 780 nm 处提供激发并在 830 nm 以上进行检测，我们探索了评估均匀性、视场、光谱串扰、空间分辨率、景深、灵敏度、线性度和穿透深度的方法。这些测量是使用荧光团掺杂的多孔板和高浊度平面模型以及 3D 打印的多通道模型和 USAF 1951 分辨率目标进行的。结果和结论 基于医学和荧光成像文献中描述的各种方法，我们开发并演示了一系列用于评估宽视场成像仪荧光图像质量的测试方法。我们还提出了一些可以促进设备性能直接、定量比较的关键指标。这些方法有可能促进临床和临床前成像系统比通常实现的更统一的评估和相互比较，其长期目标是建立荧光图像质量评估的国际标准。
Purpose Near-infrared fluorescence (NIRF) imaging using exogenous contrast has gained much attention as a technique for enhancing visualization of vasculature using untargeted agents, as well as for the detection and localization of cancer with targeted agents. In order to address the emerging need for standardization of NIRF imaging technologies, it is necessary to identify the best practices suitable for objective, quantitative testing of key image quality characteristics. Toward the development of a battery of test methods that are rigorous yet applicable to a wide variety of devices, we have evaluated techniques for phantom design, measurement, and calculation of specific performance metrics. Methods Using a NIRF imaging system for indocyanine green imaging, providing excitation at 780 nm and detection above 830 nm, we explored methods to evaluate uniformity, field of view, spectral crosstalk, spatial resolution, depth of field, sensitivity, linearity, and penetration depth. These measurements were performed using fluorophore-doped multiwell plate and high turbidity planar phantoms, as well as a 3D-printed multichannel phantom and a USAF 1951 resolution target. Results and Conclusions Based on a wide range of approaches described in medical and fluorescence imaging literature, we have developed and demonstrated a cohesive battery of test methods for evaluation of fluorescence image quality in wide-field imagers. We also propose a number of key metrics that can facilitate direct, quantitative comparison of device performance. These methods have the potential to facilitate more uniform evaluation and inter-comparison of clinical and preclinical imaging systems than is typically achieved, with the long-term goal of establishing international standards for fluorescence image quality assessment.