Texas A&M University, Department of Biomedical Engineering, College Station, Texas, United States.
Texas A&M Health Science Center, Department of Molecular Pathogenesis and Immunology, Bryan, Texas, United States.
J Biomed Opt. 2018 Mar;23(7):1-12. doi: 10.1117/1.JBO.23.7.071208.
We describe a Monte Carlo model of the mouse torso to optimize illumination of the mouse lung for fluorescence detection of low levels of pulmonary pathogens, specifically Mycobacterium tuberculosis. After validation of the simulation with an internally illuminated optical phantom, the entire mouse torso was simulated to compare external and internal illumination techniques. Measured optical properties of deflated mouse lungs were scaled to mimic the diffusive properties of inflated lungs in vivo. Using the full-torso model, a 2 × to 3 × improvement in average fluence rate in the lung was seen for dorsal compared with ventral positioning of the mouse with external illumination. The enhancement in average fluence rate in the lung using internal excitation was 40 × to 60 × over external illumination in the dorsal position. Parameters of the internal fiber optic source were manipulated in the model to guide optimization of the physical system and experimental protocol for internal illumination and whole-body detection of fluorescent mycobacteria in a mouse model of infection.
我们描述了一个小鼠体躯的蒙特卡罗模型，以优化对低水平肺部病原体（特别是结核分枝杆菌）的荧光检测的小鼠肺部的照明。在用内部照明光学模型验证了模拟之后，模拟了整个小鼠体躯以比较外部和内部照明技术。将放气后的小鼠肺的测量光学特性缩放，以模拟体内充气肺的扩散特性。使用全躯模型，与外部照明相比，将小鼠置于背部位置时，肺部的平均荧光率提高了 2 到 3 倍。在背部位置，使用内部激发的肺部平均荧光率提高了 40 到 60 倍，超过了外部照明。在模型中对内部光纤源的参数进行了操作，以指导内部照明的物理系统和实验方案的优化，以及在感染的小鼠模型中对荧光分枝杆菌进行全身检测。
