Unité médico-chirurgicale de cardiologie congénitale et pédiatrique, centre de référence des maladies cardiaques congénitales complexes-M3C, Hôpital universitaire Necker-Enfants Malades, Université de Paris, France.
Decision and Bayesian Computation, Computation Biology Department, CNRS, URS 3756, Neuroscience Department, CNRS UMR 3571, Institut Pasteur, Paris, France.
J Card Surg. 2021 Jul;36(7):2598-2602. doi: 10.1111/jocs.15508. Epub 2021 Mar 24.
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.
背景与研究目的:我们旨在评估一种名为 DIVA 的新型虚拟现实 (VR) 技术对心脏解剖结构的呈现是否恰当,该技术可直接应用于未经中间分割步骤的原始磁共振成像 (MRI) 数据,与标准的三维 (3D) 渲染技术(3D PDF 和 3D 打印)相比。我们还评估了后处理时间的差异。
方法:我们重建了三位患有不同类型复杂先天性心脏病 (CHD) 患者的 3D (STL、3D-PDF 和 3D 打印模型) 和 VR 模型。然后,我们请一位资深儿科心脏外科医生对获得的结果进行比较和分级。
结果:在 VR 和 3D PDF/打印模型中均能很好地观察到所有解剖结构。心室-动脉连接及其与大血管的关系在 VR 模型中显示更好(病例 2);VR 模型还可以更好地观察主动脉弓解剖结构和细节(病例 3)。使用 DIVA 获得 VR 模型的中位后处理时间为 5 分钟,而 3D 模型(PDF/打印)的后处理时间为 8 小时(范围为 8-12 小时,包括打印时间)。
结论:直接应用于非分割 3D-MRI 数据集的 VR 是一种有前途的 CHD 3D 高级建模技术。与标准 3D 建模技术相比,它更一致且更快。
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