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

Abiri, Arash and Ding, Yichen and Abiri, Parinaz and Packard, René R. Sevag and Vedula, Vijay and Marsden, Alison and Kuo, C.-C. Jay and Hsiai, Tzung K. (2018) Simulating Developmental Cardiac Morphology in Virtual Reality Using a Deformable Image Registration Approach. Annals of Biomedical Engineering, 46 (12). pp. 2177-2188. ISSN 0090-6964. PMCID PMC6249076.

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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.

Item Type:Article
Related URLs:
URLURL TypeDescription ReadCube access CentralArticle
Ding, Yichen0000-0002-6242-3506
Packard, René R. Sevag0000-0002-8520-5843
Hsiai, Tzung K.0000-0003-1734-0792
Additional Information:© 2018 Biomedical Engineering Society. Received: 01 May 2018; Accepted: 07 August 2018; First Online: 15 August 2018. This work was supported by the National Institutes of Health (5R01HL083015-10, 1R01HL118650, 1R01HL129727, 7R01HL111437) and the American Heart Association (Career Development Award 18CDA34110338, Scientist Development Grant 16SDG30910007). The authors declare no competing financial interests.
Funding AgencyGrant Number
American Heart Association18CDA34110338
American Heart Association16SDG30910007
Subject Keywords:Medical simulation; Light-sheet imaging; Cardiology; Image registration; Dynamic imaging; Surgical simulation
Issue or Number:12
PubMed Central ID:PMC6249076
Record Number:CaltechAUTHORS:20180816-080520317
Persistent URL:
Official Citation:Abiri, A., Ding, Y., Abiri, P. et al. Ann Biomed Eng (2018) 46: 2177.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:88842
Deposited By: Tony Diaz
Deposited On:16 Aug 2018 16:08
Last Modified:09 Apr 2020 20:40

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