Fast‐track virtual reality for cardiac imaging in congenital heart disease. Issue 7 (24th March 2021)

• Record Type: Journal Article
• Authors: Raimondi, Francesca; Vida, Vladimiro; Godard, Charlotte; Bertelli, Francesco; Reffo, Elena; Boddaert, Nathalie; El Beheiry, Mohamed; Masson, Jean‐Baptiste
• Is Part Of: Journal of cardiac surgery. Volume 36:Issue 7(2021)
• Page Start: 2598
• Page End: 2602
• Publication Date: 2021-03-24
• Subjects: 3D reconstruction -- congenital heart disease -- surgical planning -- virtual reality; Heart -- Surgery -- Periodicals; 617.412005
• DOI: 10.1111/jocs.15508
• Languages: English
• ISSNs: 0886-0440

Abstract

Abstract: 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.