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Fast-track virtual reality for cardiac imaging in congenital heart disease
- 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.
- Subjects :
- Pulmonary and Respiratory Medicine
Heart Defects, Congenital
[SDV]Life Sciences [q-bio]
030204 cardiovascular system & hematology
Virtual reality
Surgical planning
Rendering (computer graphics)
surgical planning
03 medical and health sciences
0302 clinical medicine
Imaging, Three-Dimensional
Medicine
Humans
Computer vision
Segmentation
3D reconstruction
Child
Cardiac imaging
business.industry
Virtual Reality
congenital heart disease
Magnetic Resonance Imaging
Data set
030228 respiratory system
Great vessels
Printing, Three-Dimensional
Surgery
[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]
Artificial intelligence
Cardiology and Cardiovascular Medicine
business
Subjects
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⟩