Improving Outcomes in Pediatric Cardiology by Performing Virtual Cardiac Surgery

Doctor's Name: 
Moghari Hedjazi
Boston Children's Hospital

Collaboratively awarded through the CHF and AHA Congenital Heart Defect Research Awards (Total Grant Amount $249,480; CHF portion = $124,740)

SUMMARY: We seek to quantitatively understand why some children with single ventricle heart disease (SVHD) fail after surgical procedures. Currently, 2-dimensional (2D) images from echocardiography, x-ray angiography, and cardiovascular magnetic resonance imaging (MRI) are being used to qualitatively choose the best surgical approach for SVHD patients. These imaging modalities provide an incomplete picture of complex ventricular function and hemodynamic information, and limit efficient decision making. We propose to address this deficiency by simulating different surgical approaches on a patient-specific beating heart model and quantitatively comparing the cardiac response and hemodynamics for each surgical repair. To accomplish this, we need to 1) develop a novel and fast 3D cine cardiovascular MRI sequence to capture the heart motion and blood flow in 3D throughout the cardiac cycle, 2) automatically segment the whole heart and great vessels from the 3D cine images to generate a beating heat model, 3) approximate the 3D beating heart model and blood flow circulation with a lumped-parameter model, and 4) perform different surgical repairs on the lumped-parameter model to estimate new hemodynamic parameters and define the optimal repair.           

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