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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. https://resolver.caltech.edu/CaltechAUTHORS:20180816-080520317

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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.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1007/s10439-018-02113-zDOIArticle
https://rdcu.be/4CI0PublisherFree ReadCube access
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249076PubMed CentralArticle
ORCID:
AuthorORCID
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.
Funders:
Funding AgencyGrant Number
NIH5R01HL083015-10
NIH1R01HL118650
NIH1R01HL129727
NIH7R01HL111437
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:https://resolver.caltech.edu/CaltechAUTHORS:20180816-080520317
Official Citation:Abiri, A., Ding, Y., Abiri, P. et al. Ann Biomed Eng (2018) 46: 2177. https://doi.org/10.1007/s10439-018-02113-z
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:88842
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:16 Aug 2018 16:08
Last Modified:09 Apr 2020 20:40

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