Project Code
CMD27Br Biglino
Project Type
Dry lab
Research Theme
Cardiometabolic Disease
Project Summary Download
Summary
Congenital heart disease (CHD) affects 1 in 110 births and causes significant long-term morbidity, yet identifying anatomical subphenotypes remains difficult. Structural changes over time— enlargement, narrowing, remodelling—are key markers of disease progression, but current shape analysis largely relies on static, crosssectional snapshots. This project will pioneer a dynamic shape atlasing framework, extending statistical shape modelling (SSM) into the temporal domain to capture continuous growth and remodelling trajectories of cardiac chambers and vessels. Built on a unique longitudinal biobank, this work will generate the first 4D (3D + time) population atlases for tetralogy of Fallot and bicuspid aortic valve disease.
Can the project be completed part time?
Yes
Lead Supervisor
Dr Giovanni Biglino
Lead Supervisor Email
University Affiliation
University of Bristol
