The use of noninvasive multi-parametric imaging platforms to guide pathological diagnosis and therapeutic procedures can significantly improve clinical outcomes. A hybrid optical imaging modality integrating laser speckles, image fusion processing, and temperature measurement was utilized to monitor dynamic parametric responses in live tissue. Speckle imaging, based on two laser sources, was employed to map hemodynamic and metabolic feature changes following hypoxic ischemic brain injury in a mouse model. Each tissue feature measurement was then fused with white light images obtained by an LED illumination source with improved contrast, allowing more details to be seen on the merged image. Concurrently, cerebral tissue temperature was imaged by a thermal camera providing additional information on physiological tissue condition. Overall, the multimodal monitoring method presented here utilizes the advantages of three techniques to characterize macroscopic tissue physiological parameters and the results illustrate the ability of our system to simultaneously track and visualize changes in those parameters which can provide insight into tissue states.

使用非侵入性多参数成像平台指导病理诊断和治疗程序可以显着改善临床结果。结合了激光散斑，图像融合处理和温度测量的混合光学成像模式可用于监测活组织中的动态参数响应。基于两个激光源的散斑成像被用于绘制小鼠模型中缺氧缺血性脑损伤后的血流动力学和代谢特征变化。然后，将每个组织特征测量结果与LED光源获得的白光图像进行融合，以提高对比度，从而在合并图像上看到更多细节。同时，通过热像仪对脑组织温度进行成像，以提供有关生理组织状况的其他信息。全面的，