Computational modeling of the left ventricle demonstrated that maximum velocity could vary by over 30% between the first and second cardiac cycles, with complex vortex formation during diastole.
Computational fluid dynamics modeling of the left ventricle demonstrates that flow patterns stabilize after three cardiac cycles and reveals complex diastolic vortex formation.
A realistic model of the left ventricle of the heart was previously constructed, using a cast from a dog heart which was in diastole. Previous studies of the three-dimensional heart model were conducted in systole only. The purpose of this investigation was to extend the model to both systole and diastole, and to determine what the effect of a previous cardiac cycle was on the next cardiac cycle. The 25.8 cc ventricular volume was reduced by 40% in 0.25 seconds, then increased to the original volume in another 0.25 seconds and then allowed to rest for 0.25 seconds. Runs done with an ejection fraction of 60% showed little variation from one cardiac cycle to another after the third cardiac cycle was completed; the maximum velocity could vary by over 30% between the first and second cardiac cycles. In systole, centerline and cross-sectional velocity vectors greatly increased in magnitude at the aortic outlet. Most of the pressure drop occurred in the top 15% of the heart. The diastolic phase showed complex vortex formation not seen in the systolic contractions; these complex vortices could account for experimentally observed turbulent blood flow fluctuations in the aorta.
Taylor et al. (Sat,) reported a other. Computational fluid dynamics modeling was evaluated on Flow patterns, velocity vectors, and pressure drops. Computational modeling of the left ventricle demonstrated that maximum velocity could vary by over 30% between the first and second cardiac cycles, with complex vortex formation during diastole.
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