Abstract
The most prevalent type of birth defects globally are congenital heart defects (CHDs), requiring knowledge of intracardiac blood flow for their evaluation and progression. However, imaging techniques such as four-dimensional magnetic resonance and blood speckle imaging continues to lack the resolution required to extract flow data in patients with elevated flow velocities. Aortic stenosis (AS), a left ventricular outflow tract anomaly frequently associated with Williams syndrome, requires better tools for severity assessment than clinical findings and pressure gradient assessments, as these can be influenced by transient physiology and the stage of the disease. A computational framework was developed to evaluate intracardiac blood flow in a patient with an extreme aortic defect using the coupling of zero-dimensional (0D) lumped parameter models and pre- and post-intervention patient-specific reconstructed geometries to perform computational fluid dynamic (CFD) simulations. The framework allows for the analysis and visualization of complex blood flow patterns, providing insight into changes in geometry and flow dynamics affecting cardiac function. The framework aims to evaluate the effectiveness of the surgical procedure in correcting the defective aorta.
