Key result
A pore network model accurately simulated blood flow in a patient-specific abdominal aorta, with a maximum pressure deviation of 11.14% from physiological data near the systole instant.
Why the study?
A critical limitation in cardiovascular blood flow simulation studies is accurately determining outlet boundary conditions.
A novel pore network model accurately simulates outlet boundary conditions for 3D patient-specific abdominal aorta blood flow, closely matching experimental and physiological data.
Answers are grounded in this paper and cite their sources.
Pore network models may enable efficient aortic flow simulation; leaves open human validation before clinical use.
One of the critical limitations of studies on cardiovascular blood flow simulation is to determine outlet boundary conditions accurately. In the present study, for the first time, pore network model is proposed as a useful technique to take into account interaction between blood flow and other body organs. Thus body organs are simulated by pore network model. Thanks to the method, pressure distribution among the porous medium of organ is determined and consequently the required boundary conditions are obtained for the simulation of arterial blood flow. The comparison between permeability resulted from developed model and experimental results shows that the difference is about 3% for the assumption of non-Newtonian blood flow through organ. This indicates the pore network model can accurately simulate velocity and pressure in the organs. Afterwards, a 3D patient-specific abdominal aorta was simulated under the proposed outlet boundary condition. The maximum deviation of predicted pressure from physiological data is 11.14% near the systole instant. Generally, the predicted pressure and velocity profiles are evident that the model can adequately simulate the blood flow through the arteries which feed main organs.
No takes yet. Share an insight, caveat, or question.
Karimi et al. (2021) studied Cardiovascular blood flow simulation. Pore network model for outlet boundary conditions vs. Physiological data and experimental results was evaluated on Deviation of predicted pressure from physiological data. A pore network model accurately simulated blood flow in a patient-specific abdominal aorta, with a maximum pressure deviation of 11.14% from physiological data near the systole instant.
Synapse has enriched 10 related papers. Consider them for comparative context: