A computational model of hemodynamic parameters in cortical capillary networks

Image-based vessel-by-vessel analysis for red blood cell and plasma dynamics with automatic segmentation

“…Furthermore, the dissociation between the RBC and plasma traces indicates a separation of the RBC and the plasma passages through the parenchymal microcirculation, which may be caused by plasma skimming and/or thoroughfare channels for RBC (Hasegawa et al, 1967;Hudetz et al, 1996;Safaeian et al, 2011). Although no significant differences in the RBC and plasma transit were observed for the appearance times in the present study, the disappearance times showed detectable differences.…”

Quantitative Morphometry of Perifoveal Capillary Networks in the Human Retina

“…36 In contrast, the capillary networks located in the RGCL/sIPL and dIPL/sINL demonstrated a tortuous, 3-D architecture that resembled the Voronoi tessellation described in cortical capillary beds. 37 The variation in retinal capillary network morphology identified in the present study demonstrates important parallels to the human cerebral cortex, where the microcirculation is also altered according to neuronal layer. [38][39][40] Unlike the brain, the retina is readily accessible for investigating the physiological behavior of subcellular components within distinct neuronal layers.…”

A bioimage informatics based reconstruction of breast tumor microvasculature with computational blood flow predictions

“…Morphological and hemodynamic parameters are calculated for the entire tumor vasculature and various regions of interest (ROI) of the tumor (Safaeian et al, 2010). These include: $${\mathrm{V}}_{\mathrm{D}}=\frac{1}{4·{\mathrm{V}}_{\text{tissue}}}\sum _{\mathrm{normali},\mathrm{normalj}=1}^{\mathrm{N}}\mathrm{normal\pi }·{{\mathrm{normalD}}_{\text{ij}}}^2·{\mathrm{L}}_{\text{ij}}false(\text{Vascular volume density}false)$$ $${\mathrm{L}}_{\mathrm{D}}=\frac{1}{{\mathrm{normalV}}_{\text{tissue}}}\sum _{\mathrm{normali},\mathrm{normalj}=1}^{\mathrm{N}}{\mathrm{L}}_{\text{ij}}false(\text{Vascular length density}false)$$ $${\mathrm{S}}_{\mathrm{D}}=\frac{1}{{\mathrm{normalV}}_{\text{tissue}}}\sum _{\mathrm{normali},\mathrm{normalj}=1}^{\mathrm{N}}\mathrm{normal\pi }·{\mathrm{D}}_{\text{ij}}·{\mathrm{L}}_{\text{ij}}false(\text{Vascular surface density}false)$$ $$\mathrm{normalS}/\mathrm{normalV}=\frac{1}{4}·\frac{\sum _{\mathrm{normali},\mathrm{normalj}=1}^{\mathrm{N}}\mathrm{normal\pi }·{\mathrm{D}}_{\text{ij}}·{\mathrm{L}}_{\text{ij}}}{\sum _{\mathrm{normali},\mathrm{normalj}=1}^{\mathrm{N}}\mathrm{normal\pi }·{{\mathrm{normalD}}_{\text{ij}}}^2·{\mathrm{L}}_{\text{ij}}}false(\text{Vascular surface area/Vascular volume ratio}false)$$ $$\mathrm{normalR}=\frac{1}{\sqrt{\mathrm{\pi }·{\mathrm{normalL}}_{\mathrm{normalD}}}}false(\text{Maximum extravascular diffusion distance}false)$$ Eq.…”