Dataset Information

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 quantitative computations with 4-D VR. We demonstrated that our LSFM-captured images, followed by DIR, yielded average dice similarity coefficients of 0.92?±?0.05 (n?=?510) and 0.93?±?0.06 (n?=?240) when compared to ground truth images obtained from Otsu thresholding and manual segmentation, respectively. The resulting VR environment simulates a wide-angle zoomed-in view of motion in live embryonic zebrafish hearts, in which the cardiac chambers are undergoing structural deformation throughout the cardiac cycle. Thus, this technique allows for an interactive micro-scale VR visualization of developmental cardiac morphology to enable high resolution simulation for both basic and clinical science.

SUBMITTER: Abiri A

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

REPOSITORIES: biostudies-literature

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Publications

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

Abiri Arash A Ding Yichen Y Abiri Parinaz P Packard René R Sevag RRS Vedula Vijay V Marsden Alison A Kuo C-C Jay CJ Hsiai Tzung K TK

Annals of biomedical engineering 20180815 12

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 ...[more]

PMID: 30112710

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Dataset Information

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

Publications

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

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