title: Imaging-based integrative models of the heart: closing the loop between experiment and simulation.
abstract: We describe methodologies for: (a) mapping ventricular activation using high-density epicardial electrode arrays; (b) measuring and modelling ventricular geometry and fibre orientation at high spatial resolution using diffusion tensor magnetic resonance imaging (DTMRI); and (c) simulating electrical conduction; using comprehensive data sets collected from individual canine hearts. We demonstrate that computational models based on these experimental data sets yield reasonably accurate reproduction of measured epicardial activation patterns. We believe this ability to electrically map and model individual hearts will lead to enhanced understanding of the relationship between anatomical structure, and electrical conduction in the cardiac ventricles.
authors.affiliation: The Whitaker Biomedical Engineering Institute Center for Computational Medicine & Biology, Johns Hopkins University, Baltimore MD 21218, USA.
authors.forename: Raimond L
authors.initials: RL
authors.lastname: Winslow
authors.forename: Patrick
authors.initials: P
authors.lastname: Helm
authors.forename: William
authors.initials: W
authors.lastname: Baumgartner
authors.forename: Srinivas
authors.initials: S
authors.lastname: Peddi
authors.forename: Tilak
authors.initials: T
authors.lastname: Ratnanather
authors.forename: Elliot
authors.initials: E
authors.lastname: McVeigh
authors.forename: Michael I
authors.initials: MI
authors.lastname: Miller
mesh_terms: D000465:Algorithms; D000818:Animals; D016880:Anisotropy; D003198:Computer Simulation; D004285:Dogs; D006321:Heart / Q000033:anatomy & histology* / Q000502:physiology*; D006331:Heart Diseases / Q000473:pathology; D007091:Image Processing, Computer-Assisted; D008953:Models, Anatomic; D009206:Myocardium / Q000473:pathology*; D010496:Pericardium / Q000473:pathology