3D Echocardiography from 2D Ultrasound Images
Pirooz Eghtesady, MD, PhD, and Peter Manning, MD
Our long-term goal is to develop a machine that can detect and recognize underlying cardiac anatomy and actually tell us what we need to do to fix the lesion. In this project, we seek to leverage the power of computer vision and machine learning to convert 2D ultrasound images into 3D echocardiographic data (that is, 3D heart models) for patients with CHD. This innovation will open up research avenues using safe and cheap 3D echocardiographic data, and provide novel treatment options for many other diseases We hope this approach will help us identify best practices and clinical judgment in order to best care for our patients with CHD. Our ultimate goal is to enhance health care delivery in all phases.