Shape Morphing and Slice Shift Correction in Congenital Heart Defect Model Generation
Puck Pentenga (Student TU Delft)
Ashley Stroh (Dassault Systèmes Simulia Corporation)
Wouter van Genuchten (Erasmus MC)
Wim A. Helbing (Erasmus MC)
Mathias Peirlinck (TU Delft - Medical Instruments & Bio-Inspired Technology)
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Abstract
Computational heart modeling is a promising approach for improving the prognosis of patients born with congenital heart defects. To create accurate physics-based digital cardiac twins of this population, it is crucial to accurately represent the highly diverse and unique subject-specific heart geometry. In young pediatric patients, this is a challenging endeavor given the lack of high-spatial-resolution imaging data and the risk of slice misalignment. In this study, we set up a multistep shape morphing and slice correction approach to accommodate these challenges and establish a population of biventricular heart models for a variety of healthy, Fallot, and Fontan pediatric patients.