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采用动态虚拟现实渲染的四维心内膜表面成像:技术说明

Four-dimensional endocardial surface imaging with dynamic virtual reality rendering: a technical note.

作者信息

Yoo Shi-Joon, Valverde Israel, Perens Gregory S, Nguyen Kim-Lien, Finn J Paul

机构信息

Department of Diagnostic Imaging, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.

Division of Cardiology, Department of Paediatrics, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.

出版信息

Transl Pediatr. 2024 Aug 31;13(8):1479-1485. doi: 10.21037/tp-24-140. Epub 2024 Aug 19.

Abstract

Open heart surgery requires a proper understanding of the endocardial surface of the heart and vascular structures. While modern four-dimensional (4D) imaging enables excellent dynamic visualization of the blood pool, endocardial surface anatomy has not routinely been assessed. 4D image data were post-processed using commercially available virtual reality (VR) software. Using thresholding, the blood pool was segmented dynamically across the imaging volume. The segmented blood pool was further edited for correction of errors due to artifacts or inhomogeneous signal intensity. Then, a surface shell of an even thickness was added to the edited blood pool. When the cardiac valve leaflets and chordae were visualized, they were segmented separately using a different range of signal intensity for thresholding. Using an interactive cutting plane, the endocardial surface anatomy was reviewed from multiple perspectives by interactively applying a cutting plane, rotating and moving the model. In conclusions, dynamic three-dimensional (3D) endocardial surface imaging is feasible and provides realistic simulated views of the intraoperative scenes at open heart surgery. As VR is based on the use of all fingers of both hands, the efficiency and speed of postprocessing are markedly enhanced. Although it is limited, visualization of the cardiac valve leaflets and chordae is also possible.

摘要

心脏直视手术需要对心脏的心内膜表面和血管结构有恰当的了解。虽然现代四维(4D)成像能够出色地动态显示血池,但心内膜表面解剖结构尚未常规进行评估。使用商用虚拟现实(VR)软件对4D图像数据进行后处理。通过阈值处理,在整个成像容积内动态分割血池。对分割后的血池进一步编辑,以校正由于伪影或信号强度不均匀导致的误差。然后,给编辑后的血池添加一个厚度均匀的表面壳。当可视化心脏瓣膜小叶和腱索时,使用不同的信号强度范围进行阈值处理将它们分别分割。通过交互式应用切割平面、旋转和移动模型,从多个角度查看心内膜表面解剖结构。总之,动态三维(3D)心内膜表面成像可行,能提供心脏直视手术术中场景的逼真模拟视图。由于VR基于双手所有手指的使用,后处理的效率和速度显著提高。虽然有限,但心脏瓣膜小叶和腱索的可视化也是可能的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed6e/11384435/0a8520741c82/tp-13-08-1479-f1.jpg

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