【作者】 张彤；

【导师】 吴福理；

【作者基本信息】 浙江工业大学 ， 软件工程， 2014， 硕士

【摘要】 CT、MRI等数字成像技术的发明导致海量的医学影像数据需要进行存储和可视化。大量的可视化软件被开发用来对医学影像数据进行可视化。传统的医学影像可视化系统一般基于桌面式应用,需要按照计算机的硬件性能进行设计和开发,以致影像数据的存储和可视化绘制能力参差不齐,同时难以实现不同操作系统或移动设备的跨平台访问,且缺少多用户的协同交互机制。本文提出一个基于云平台的远程医学影像可视化交互系统,利用云平台超大的数据存储空间和强大的图形图像处理能力进行影像数据的存储、解码、分割及交互式体绘制。然后根据本文提出的医学元数据和图像数据交换协议,用户在浏览器端便可实现二维影像的搜索查询、仿射变换和颜色变换,三维影像的传输函数调节、光照参数调节和绘制方法选择等。现阶段的医学影像协同交互可视化研究大多以服务器分发相同医学数据,浏览器使用WebGL进行绘制,或者在服务器进行医学数据的可视化,再分发到每个用户,以此提供协同交互机制。本文提出的医学元数据和图像数据交换协议还支持多用户的协同交互可视化,通过单个主用户与云端服务器进行交互,用户之间进行影像数据的对等传输,实现医学影像数据的二维和三维协同可视化交互功能,真正实现了一次计算分发,多次共享。本文的实验结果表明,本文的系统不仅能以协同方式支持医学影像的二维实时浏览、仿射和颜色变换,而且支持三维的高级分割和体绘制操作,并且有较好的实时交互性。更多还原

【Abstract】 The invention of CT, MRI, and other digital imaging technology led to storage and visualization of massive medical imaging data. Lots of visualization systems have been developed for visualization of medical imaging data.Traditional medical imaging systems are based on desktop, designed and developed according to hardware performance of computers. So that, these systems have uneven storage and rendering capabilities. At the same time, it is difficult to achieve cross-platform access in different operation system or mobile devices, and these systems lack of coordination mechanism. In this paper, we propose a remote medical imaging interactive visualization system based on cloud platform. Using the large storage and powerful capabilities of processing images and graphics, it can achieve storage, decoding, segmentation and volume rendering. Then, according to the proposed exchange protocol of medical metadata and image data, users can do searching, affine and color transformation in two-dimensional imaging and adjustment of transfer function, lighting parameters and rendering method in three-dimensional imaging.Nowadays, most researches of collaborative interactive visualization is the data distribution from the server to the client and rendering with WebGL, or the data visualization in the server and distributed to client. Collaborative interactive visualization is also supported in the exchange protocol proposed in this paper. After the interaction between the master user and the cloud server, the others can share the medical imaging by peer-to-peer data transmission and achieve two-dimensional or three-dimensional collaborative interactive visualization. This mechanism truly achieves computing and distribution once, sharing many times.Experimental results show that our system not only support two-dimensional browsing and rigid and visual transformation, but also support advanced segmentation and three-dimensional volume rendering with coordination mechanism, and has better real-time interactivity.更多还原