Optimizing Web-Based Viewer of 4D CT Scans for Clinical Assessment of Injured Wrists.

Optimizing Web-Based Viewer of 4D CT Scans for Clinical Assessment of Injured Wrists.
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优化基于 Web 的 4D CT 扫描查看器,用于受伤手腕的临床评估。

DOI:
10.1109/embc46164.2021.9629999
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发表时间:
2021
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
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通讯作者:
Zhao,KristinD
Zhao,KristinD
中科院分区:
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文献类型:
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作者:
Holmes,DavidR;Thoreson,AndrewR;Breighner,RyanE;Kakar,Sanjeev;Moran,StevenL;Leng,Shuai;Zhao,KristinD

文献摘要

相似文献

手腕损伤给患者和提供者带来了独特的挑战。由于手腕的复杂性,很难确定手腕损伤主要是骨折还是软组织损伤。舟月骨间韧带(SLIL)是腕关节功能中的重要韧带,也是腕关节最常见的软组织损伤之一。腕关节镜检查是评估舟月骨关节损伤的金标准;然而,它是一种侵入性手术。4D计算机断层扫描动态成像的最新进展使SLIL损伤的非侵入性评估成为可能。不幸的是,4DCT扫描数据可能很难传播给临床医生,因为生成的数据量很大,而且可视化数据很复杂。已经开发了一个基于Web的应用程序,以交互地评估疑似SLIL损伤患者的4DCT扫描。由于数据量和用于可视化数据的硬件平台的多样性,利用渲染引擎对图像进行预处理,并以伪3D可视化范例呈现,其中用户可以交互地探索3D数据,而无需将整个数据集传输到本地计算机。这项技术已经被用于评估27名患者。
Wrist injuries pose a unique challenge for patients and providers. Due to the complexity of the wrist, it is difficult to determine if a wrist injury is primarily a bone fracture or soft tissue damage. The scapholunate interosseous ligament (SLIL) is an important ligament in the function of the wrist, and it is also one of the most common soft tissue injuries in the wrist. Wrist arthroscopy is the gold standard for assessing injuries of the scapholunate joint; however, it is an invasive procedure. Recent advances in dynamic imaging with 4D Computed Tomography scans allow for the assessment of SLIL injuries non-invasively. Unfortunately, 4DCT scan data can be difficult to disseminate to clinical practitioners due to the large amount of data generated and the complexity in visualizing the data. A web-based application has been developed to interactively assess 4DCT scans of patients with suspected SLIL injury. Due to the magnitude of data and the diversity of hardware platforms used to visualize the data, the images are preprocessed with a rendering engine and presented in a pseudo-3D visualization paradigm where the user can interactively explore the 3D data without transmitting the entire dataset to the local computer. The technology has been used to assess 27 patients.