Oshin Temitope A, Abhulimen Kingsley E
Department of Chemical Engineering, College of Engineering, Landmark University, PMB 1001, Omu-Aran, Kwara, Nigeria.
Landmark University SDG 3 Cluster (Good Health and Wellbeing), PMB 1001, Omu-Aran, Kwara, Nigeria.
Heliyon. 2022 Jul 19;8(7):e09992. doi: 10.1016/j.heliyon.2022.e09992. eCollection 2022 Jul.
A numerical model for simulating and predicting blood flow dynamics in diseased arterial vessels has been developed. The time-dependent one-dimensional hyperbolic system of quasilinear partial differential equations which incorporates a diagnostic disease descriptor ( ) was used to simulate transient flow distribution for idealized healthy and diseased states. Blood flow simulations in the iliac arteries over about 125% of a cardiac cycle were generated and calibrated using the values from 0 to 3 representing hypothetical diseased states. Early results indicate that disease conditions induce abnormal flow in the artery, generating disorder and increased amplitude of blood pressure, flow and distensibility with increasing numerical values of the disease factor . More so, the prospective use of the -approach with documentation of in vivo adverse flow visualizations for diagnostic purposes was decisively discussed.
已开发出一种用于模拟和预测病变动脉血管中血流动力学的数值模型。使用包含诊断疾病描述符（ ）的与时间相关的一维拟线性偏微分方程双曲系统，来模拟理想化健康状态和病变状态下的瞬态血流分布。利用代表假设病变状态的从0到3的 值，生成并校准了约1.25个心动周期内髂动脉的血流模拟。早期结果表明，疾病状况会在动脉中诱发异常血流，随着疾病因子 的数值增加，会产生紊乱并导致血压、血流和扩张性的幅度增加。更重要的是，还对 方法在体内不良血流可视化记录用于诊断目的的前瞻性应用进行了决定性讨论。
