Sathialingam Eashani, Lee Seung Yup, Sanders Bharat, Park Jaekeun, McCracken Courtney E, Bryan Leah, Buckley Erin M
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 1760 Haygood Dr. NE, Atlanta, GA 30322, USA.
co-first authorship.
Biomed Opt Express. 2018 Oct 25;9(11):5719-5734. doi: 10.1364/BOE.9.005719. eCollection 2018 Nov 1.
Diffuse correlation spectroscopy (DCS) has shown promise as a means to non-invasively measure cerebral blood flow in small animal models. Here, we characterize the validity of DCS at small source-detector reflectance separations needed for small animal measurements. Through Monte Carlo simulations and liquid phantom experiments, we show that DCS error increases as separation decreases, although error remains below 12% for separations > 0.2 cm. In mice, DCS measures of cerebral blood flow have excellent intra-user repeatability and strongly correlate with MRI measures of blood flow (R = 0.74, <0.01). These results are generalizable to other DCS applications wherein short-separation reflectance geometries are desired.
扩散相关光谱法（DCS）已显示出有望作为一种在小动物模型中无创测量脑血流量的方法。在此，我们描述了在小动物测量所需的小源 - 探测器反射距离下DCS的有效性。通过蒙特卡罗模拟和液体模型实验，我们表明随着距离减小，DCS误差会增加，不过对于距离>0.2 cm时，误差仍保持在12%以下。在小鼠中，DCS对脑血流量的测量具有出色的用户内重复性，并且与MRI血流测量结果高度相关（R = 0.74，<0.01）。这些结果可推广到其他需要短距离反射几何结构的DCS应用中。
