Particulate nature of blood determines macroscopic rheology: a 2-D lattice Boltzmann analysis.
Historically, predicting macroscopic blood flow characteristics such as viscosity has been an empirical process due to the difficulty in rigorously including the particulate nature of blood in a mathematical representation of blood rheology. Using a two-dimensional lattice Boltzmann approach, we have simulated the flow of red blood cells in a blood vessel to estimate flow resistance at various hematocrits and vessel diameters. By including white blood cells (WBCs) in the flow, we also calculate the increase in resistance due to white cell rolling and adhesion. The model considers the blood as a suspension of particles in plasma, accounting for cell-cell and cell-wall interactions to predict macroscopic blood rheology. The model is able to reproduce the Fahraeus-Lindqvist effect, i.e., the increase in relative apparent viscosity as tube size increases, and the Fahraeus effect, i.e., tube hematocrit is lower than discharge hematocrit. In addition, the model allows direct assessment of the effect of WBCs on blood flow in the microvasculature, reproducing the dramatic increases in flow resistance as WBCs enter short capillary segments. This powerful and flexible model can be used to predict blood flow properties in any vessel geometry and with any blood composition.
Sun
Chenghai
C
Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA.
Munn
Lance L
LL
D001783:Blood Flow Velocity / Q000502:physiology*; D001790:Blood Physiological Phenomena; D001794:Blood Pressure / Q000502:physiology; D001808:Blood Vessels / Q000166:cytology / Q000502:physiology; D001809:Blood Viscosity; D002448:Cell Adhesion / Q000502:physiology; D002465:Cell Movement / Q000502:physiology; D003198:Computer Simulation; D004912:Erythrocytes / Q000166:cytology* / Q000502:physiology*; D006400:Hematocrit; D018056:Hemorheology / Q000379:methods*; D007962:Leukocytes / Q000166:cytology* / Q000502:physiology*; D044085:Microfluidics / Q000379:methods; D008955:Models, Cardiovascular; D010316:Particle Size