Statistical shape model of healthy, human, biventricular anatomy

We developed a biventricular statistical shape model (SSM) from high-resolution cardiac CT scans from 271 healthy individuals. Leveraging the diversity captured by our biventricular SSM, we created a synthetic cohort of anatomically detailed, high-resolution, biventricular meshes. The geometries in this cohort were each annotated with anatomical labels and fiber orientations. We made both the SSM and the synthetic cohort publicly available. This cohort, and possibly even more synthetic geometries derived from our SSM, can be used for large-scale (electrophysiological) simulation studies. Additionally, they serve as an important building block toward population-level cardiac digital twins (CDTs). Such CDTs, also called virtual cohorts, have application potential in virtual clinical trials. We envision the use of our anatomical cohort of ready-to-use biventricular meshes, representative of a healthy population, to create a healthy virtual control population for such trials.