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

Authors :
F. Raimondi
Elena Reffo
Mohamed El Beheiry
Nathalie Boddaert
Francesco Bertelli
Charlotte Godard
Vladimiro L. Vida
Jean-Baptiste Masson
Unité Médicochirurgicale de Cardiologie Congénitale et Pédiatrique ( CHU Necker - Enfants Malades [AP-HP])
CHU Necker - Enfants Malades [AP-HP]
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre de Référence des Maladies Cardiaques Congénitales Complexes (M3C - CHU Necker)
Décision et processus Bayesiens - Decision and Bayesian Computation
Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)
Università degli Studi di Padova = University of Padua (Unipd)
Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Source :
Journal of Cardiac Surgery, Journal of Cardiac Surgery, 2023, 36 (7), pp.2598-2602. ⟨10.1111/jocs.15508⟩
Publication Year :
2021

Abstract

International audience; 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.

Details

ISSN :
15408191 and 08860440
Volume :
36
Issue :
7
Database :
OpenAIRE
Journal :
Journal of cardiac surgeryREFERENCES
Accession number :
edsair.doi.dedup.....3fbd60fa578dc74b2674264fb1337ab8
Full Text :
https://doi.org/10.1111/jocs.15508⟩