Children with congenital heart disease have a broad range of anatomy, and there are few readily available (commercial) tools to facilitate image-based structural phenotyping and patient specific planning of interventions. As such, the lab develops and applies custom tools built upon open-source platforms to help answer critical questions in this unique population. The group leverages medical image processing, machine learning, finite element analysis, computer-aided design, virtual reality, and 3D printing to achieve these goals.

EBATINCA collaborates with CHOP by creating critical infrastructure for their work to be based on, as well as creating end-user modules to assist in planning and evaluation. The created tools have helped save the lives of many children already.