Carp Stefan A, Roche-Labarbe Nadàege, Franceschini Maria-Angela, Srinivasan Vivek J, Sakadžić Sava, Boas David A
Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Building 149, 13th Street, Charlestown, Massachusetts 02129, USA.
Biomed Opt Express. 2011 Jul 1;2(7):2047-54. doi: 10.1364/BOE.2.002047. Epub 2011 Jun 24.
We suggest that Diffuse Correlation Spectroscopy (DCS) measurements of tissue blood flow primarily probe relative red blood cell (RBC) motion, due to the occurrence of multiple sequential scattering events within blood vessels. The magnitude of RBC shear-induced diffusion is known to correlate with flow velocity, explaining previous reports of linear scaling of the DCS "blood flow index" with tissue perfusion despite the observed diffusion-like auto-correlation decay. Further, by modeling RBC mean square displacement using a formulation that captures the transition from ballistic to diffusive motion, we improve the fit to experimental data and recover effective diffusion coefficients and velocity de-correlation time scales in the range expected from previous blood rheology studies.
我们认为,由于血管内发生多次连续散射事件,组织血流的扩散相关光谱(DCS)测量主要探测的是相对红细胞(RBC)运动。已知红细胞剪切诱导扩散的大小与流速相关,这解释了尽管观察到类似扩散的自相关衰减,但先前关于DCS“血流指数”与组织灌注呈线性比例关系的报道。此外,通过使用一种能捕捉从弹道运动到扩散运动转变的公式对红细胞均方位移进行建模,我们改善了对实验数据的拟合,并恢复了先前血液流变学研究预期范围内的有效扩散系数和速度去相关时间尺度。