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Large scale medical image online three-dimensional reconstruction based on WebGL using four tier client server architecture

机译:基于WebGL的四层客户端服务器架构的大规模医学影像在线三维重建

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摘要

The development of medical device technology has led to the rapid growth of medical imaging data. The reconstruction from two-dimensional images to three-dimensional volume visualization not only shows the location and shape of lesions from multiple views but also provides intuitive simulation for surgical treatment. However, the three-dimensional reconstruction process requires the high performance execution of image data acquisition and reconstruction algorithms, which limits the application to equipments with limited resources. Therefore, it is difficult to apply on many online scenarios, and mobile devices cannot meet high-performance hardware and software requirements. This paper proposes an online medical image rendering and real-time three-dimensional (3D) visualization method based on Web Graphics Library (WebGL). This method is based on a four-tier client-server architecture and uses the method of medical image data synchronization to reconstruct at both sides of the client and the server. The reconstruction method is designed to achieve the dual requirements of reconstruction speed and quality. The real-time 3D reconstruction visualization of large-scale medical images is tested in real environments. During the interaction with the reconstruction model, users can obtain the reconstructed results in real-time and observe and analyze it from all angles. The proposed four-tier client-server architecture will provide instant visual feedback and interactive information for many medical practitioners in collaborative therapy and tele-medicine applications. The experiments also show that the method of online 3D image reconstruction is applied in clinical practice on large scale image data while maintaining high reconstruction speed and quality.
机译:医疗器械技术的发展带动了医学影像数据的快速增长。从二维图像到三维体积可视化的重建,不仅从多个角度显示病灶的位置和形状,还为手术治疗提供了直观的模拟。然而,三维重建过程需要图像数据采集和重建算法的高性能执行,这限制了在资源有限的设备上的应用。因此,在许多在线场景上难以应用,移动设备无法满足高性能的软硬件要求。该文提出一种基于Web图形库(WebGL)的在线医学图像渲染和实时三维(3D)可视化方法。该方法基于四层客户端-服务器架构,采用医学影像数据同步的方式,在客户端和服务器两端进行重构。该重构方法旨在实现重构速度和质量的双重要求。在真实环境中测试了大规模医学图像的实时三维重建可视化。在与重建模型的交互过程中,用户可以实时获取重建结果,并从各个角度进行观察和分析。拟议的四层客户端-服务器架构将为协作治疗和远程医疗应用中的许多医疗从业者提供即时视觉反馈和交互式信息。实验还表明,在线三维图像重建方法在大规模图像数据的临床实践中得到了应用,同时保持了较高的重建速度和质量。

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