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快速通道虚拟现实在先天性心脏病心脏成像中的应用。

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

机构信息

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.

出版信息

J Card Surg. 2021 Jul;36(7):2598-2602. doi: 10.1111/jocs.15508. Epub 2021 Mar 24.


DOI:10.1111/jocs.15508
PMID:33760302
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.

摘要

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。

相似文献

[1]
Fast-track virtual reality for cardiac imaging in congenital heart disease.

J Card Surg. 2021-7

[2]
Advanced Medical Use of Three-Dimensional Imaging in Congenital Heart Disease: Augmented Reality, Mixed Reality, Virtual Reality, and Three-Dimensional Printing.

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[3]
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[4]
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[5]
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Biomolecules. 2021-11-16

[6]
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Congenit Heart Dis. 2018-5

[7]
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[8]
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[9]
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[10]
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[3]
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J Cardiovasc Dev Dis. 2024-12-13

[4]
Investigation of the Clinical Value of Four Visualization Modalities for Congenital Heart Disease.

J Cardiovasc Dev Dis. 2024-9-5

[5]
Computer-Based Simulation for Pediatric Cardiovascular Disease Management: A Policy Brief.

Glob Pediatr Health. 2024-9-25

[6]
How Will Artificial Intelligence Shape the Future of Decision-Making in Congenital Heart Disease?

J Clin Med. 2024-5-20

[7]
Use of Virtual Reality and 3D Models in Contemporary Practice of Cardiology.

Curr Cardiol Rep. 2024-6

[8]
Novel Techniques in Imaging Congenital Heart Disease: JACC Scientific Statement.

J Am Coll Cardiol. 2024-1-2

[9]
"From Vision to Reality: Virtual Reality's Impact on Baffle Planning in Congenital Heart Disease".

Pediatr Cardiol. 2024-1

[10]
Three-dimensional virtual reality in surgical planning for breast cancer with reconstruction.

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