Fast-track virtual reality for cardiac imaging in congenital heart disease.
3D reconstruction
congenital heart disease
surgical planning
virtual reality
Journal
Journal of cardiac surgery
ISSN: 1540-8191
Titre abrégé: J Card Surg
Pays: United States
ID NLM: 8908809
Informations de publication
Date de publication:
Jul 2021
Jul 2021
Historique:
received:
07
01
2021
accepted:
03
02
2021
pubmed:
25
3
2021
medline:
11
6
2021
entrez:
24
3
2021
Statut:
ppublish
Résumé
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. 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. 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). 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.
Sections du résumé
BACKGROUND AND AIM OF THE STUDY
OBJECTIVE
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
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
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
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.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2598-2602Informations de copyright
© 2021 Wiley Periodicals LLC.
Références
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