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Real-Time Visualization of Tissue Surface Biochemical Features Derived from Fluorescence Lifetime Measurements

机译:实时可视化从荧光寿命测量得出的组织表面生化特征

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摘要

Fiber based fluorescence lifetime imaging has shown great potential for intraoperative diagnosis and guidance of surgical procedures. Here we describe a novel method addressing a significant challenge for the practical implementation of this technique, i.e. the real-time display of the quantified biochemical or functional tissue properties superimposed on the interrogated area. Specifically, an aiming beam (450 nm) generated by a continuous-wave laser beam was merged with the pulsed fluorescence excitation light in a single delivery/collection fiber and then imaged and segmented using a color-based algorithm. We demonstrate that this approach enables continuous delineation of the interrogated location and dynamic augmentation of the acquired frames with the corresponding fluorescence decay parameters. The method was evaluated on a fluorescence phantom and fresh tissue samples. Current results demonstrate that 34 frames per second can be achieved for augmenting videos of 640×512 pixels resolution. Also we show that the spatial resolution of the fluorescence lifetime map depends on the tissue optical properties, the scanning speed, and the frame rate. The dice similarity coefficient between the fluorescence phantom and the reconstructed maps was estimated to be as high as 93%. The reported method could become a valuable tool for augmenting the surgeon’s field of view with diagnostic information derived from the analysis of fluorescence lifetime data in real-time using handheld, automated, or endoscopic scanning systems. Current method provides also a means for maintaining the tissue light exposure within safety limits. This study provides a framework for using an aiming beam with other point spectroscopy applications.
机译:基于纤维的荧光寿命成像已显示出在术中诊断和指导手术程序的巨大潜力。在这里,我们描述了一种新颖的方法,该方法解决了该技术的实际实施面临的重大挑战,即实时显示叠加在被询问区域上的定量生化或功能组织特性。具体而言,将连续波激光束产生的瞄准光束(450 nm)与脉冲荧光激发光在单个传送/收集光纤中合并,然后使用基于颜色的算法进行成像和分段。我们证明了这种方法能够连续描绘被询问的位置,并通过相应的荧光衰减参数动态增强所采集帧的位置。对荧光体模和新鲜组织样品进行了评估。当前结果表明,对于640×512像素分辨率的视频增强,可以实现每秒34帧。我们还表明,荧光寿命图的空间分辨率取决于组织的光学特性,扫描速度和帧频。荧光体模和重建图之间的骰子相似性系数估计高达93%。该报告的方法可能成为一种有价值的工具,它可以利用从手持式,自动化或内窥镜扫描系统实时分析荧光寿命数据得出的诊断信息来扩大外科医生的视野。当前的方法还提供了用于将组织光暴露保持在安全极限内的手段。这项研究提供了将瞄准光束与其他点光谱应用结合使用的框架。

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