Fast‐track virtual reality for cardiac imaging in congenital heart disease

Background and Aim of the Study We sought to evaluate the appropriateness of cardiac anatomy renderings by a new virtual reality (VR) technology, entitled DIVA, directly applicable to raw magnetic resonance imaging (MRI) data without intermediate segmentation steps in comparison to standard three‐di...

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Bibliographic Details
Published in:Journal of cardiac surgery 2021-07, Vol.36 (7), p.2598-2602
Main Authors: Raimondi, Francesca, Vida, Vladimiro, Godard, Charlotte, Bertelli, Francesco, Reffo, Elena, Boddaert, Nathalie, El Beheiry, Mohamed, Masson, Jean‐Baptiste
Format: Article
Language:English
Subjects:
3D reconstruction
congenital heart disease
Life Sciences
Neurons and Cognition
surgical planning
virtual reality
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Summary:Background and Aim of the Study We sought to evaluate the appropriateness of cardiac anatomy renderings by a new virtual reality (VR) technology, entitled DIVA, directly applicable to raw magnetic resonance imaging (MRI) data without intermediate segmentation steps in comparison to standard three‐dimensional (3D) rendering techniques (3D PDF and 3D printing). Differences in post‐processing times were also evaluated. Methods We reconstructed 3D (STL, 3D‐PDF, and 3D printed ones) and VR models of three patients with different types of complex congenital heart disease (CHD). We then asked a senior pediatric heart surgeon to compare and grade the results obtained. Results All anatomical structures were well visualized in both VR and 3D PDF/printed models. Ventricular‐arterial connections and their relationship with the great vessels were better visualized with the VR model (Case 2); aortic arch anatomy and details were also better visualized by the VR model (Case 3). The median post‐processing time to get VR models using DIVA was 5 min in comparison to 8 h (range 8–12 h including printing time) for 3D models (PDF/printed). Conclusions VR directly applied to non‐segmented 3D‐MRI data set is a promising technique for 3D advanced modeling in CHD. It is systematically more consistent and faster when compared to standard 3D‐modeling techniques.
ISSN:0886-0440
1540-8191
DOI:10.1111/jocs.15508