Simulating Developmental Cardiac Morphology in Virtual Reality Using a Deformable Image Registration Approach.

ABSTRACT: While virtual reality (VR) has potential in enhancing cardiovascular diagnosis and treatment, prerequisite labor-intensive image segmentation remains an obstacle for seamlessly simulating 4-dimensional (4-D, 3-D + time) imaging data in an immersive, physiological VR environment. We applied deformable image registration (DIR) in conjunction with 3-D reconstruction and VR implementation to recapitulate developmental cardiac contractile function from light-sheet fluorescence microscopy (LSFM). This method addressed inconsistencies that would arise from independent segmentations of time-dependent data, thereby enabling the creation of a VR environment that fluently simulates cardiac morphological changes. By analyzing myocardial deformation at high spatiotemporal resolution, we interfaced quan

SUBMITTER: Abiri A 

PROVIDER: S-EPMC6249076 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature