Dr. Matthew Jolley's research lab is focused on the visualization and quantification of congenitally abnormal heart structures using 3D imaging. 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, we develop and apply custom tools built upon open-source platforms to help answer critical question in this the unique population.  We collaborate with surgeons, cardiac imagers, interventional cardiologists, and computer scientists with the long-term goal of delivering personalized structural modeling to inform optimal interventions in an individual patient.

Main focuses of the lab include:

  • Visualization and Quantification of Pediatric Heart Valve Structure
  • Image Based Visualization and Modeling to Facilitate Interventional and Surgical Planning
  • Novel Visualization of 3D Images
  • Shape Analysis
  • Machine Learning

Publication Highlights

Jolley MA, Lasso A, Nam HH, Dinh PV, Scanlan AB, Nguyen AV, Ilina A, Morray B, Glatz AC, McGowan FX, Whitehead K, Dori Y, Gorman JH 3rd, Gorman RC, Fichtinger G, Gillespie MJ. Toward predictive modeling of catheter-based pulmonary valve replacement into native right ventricular outflow tracts. Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions. 2019; 93(3):E143-E152. PubMed [journal] PMID: 30444053.

Jolley MA, Hammer PE, Ghelani SJ, Adar A, Sleeper LA, Lacro RV, Marx GR, Nathan M, Harrild DM. Three-Dimensional Mitral Valve Morphology in Children and Young Adults With Marfan Syndrome. Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography. 2018; 31(11):1168-1177.e1. NIHMSID: NIHMS1503286 PubMed [journal] PMID: 30098871 PMCID: PMC6218932.