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用于大规模 3D 生物图像和图谱的网络工具。

Web tools for large-scale 3D biological images and atlases.

机构信息

MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, UK.

出版信息

BMC Bioinformatics. 2012 Jun 7;13:122. doi: 10.1186/1471-2105-13-122.

Abstract

BACKGROUND

Large-scale volumetric biomedical image data of three or more dimensions are a significant challenge for distributed browsing and visualisation. Many images now exceed 10GB which for most users is too large to handle in terms of computer RAM and network bandwidth. This is aggravated when users need to access tens or hundreds of such images from an archive. Here we solve the problem for 2D section views through archive data delivering compressed tiled images enabling users to browse through very-large volume data in the context of a standard web-browser. The system provides an interactive visualisation for grey-level and colour 3D images including multiple image layers and spatial-data overlay.

RESULTS

The standard Internet Imaging Protocol (IIP) has been extended to enable arbitrary 2D sectioning of 3D data as well a multi-layered images and indexed overlays. The extended protocol is termed IIP3D and we have implemented a matching server to deliver the protocol and a series of Ajax/Javascript client codes that will run in an Internet browser. We have tested the server software on a low-cost linux-based server for image volumes up to 135GB and 64 simultaneous users. The section views are delivered with response times independent of scale and orientation. The exemplar client provided multi-layer image views with user-controlled colour-filtering and overlays.

CONCLUSIONS

Interactive browsing of arbitrary sections through large biomedical-image volumes is made possible by use of an extended internet protocol and efficient server-based image tiling. The tools open the possibility of enabling fast access to large image archives without the requirement of whole image download and client computers with very large memory configurations. The system was demonstrated using a range of medical and biomedical image data extending up to 135GB for a single image volume.

摘要

背景

三维或更多维度的大规模容积生物医学图像数据对分布式浏览和可视化是一个重大挑战。现在许多图像的大小都超过了 10GB,对于大多数用户来说,无论是在计算机内存还是网络带宽方面,处理这些数据都太大了。当用户需要从存档中访问数十个甚至数百个这样的图像时,问题就更加严重了。在这里,我们通过存档数据提供压缩平铺图像来解决二维切片视图的问题,从而使用户能够在标准网络浏览器的上下文中浏览非常大容量的数据。该系统为灰度级和彩色三维图像提供了交互式可视化,包括多个图像层和空间数据覆盖。

结果

标准的互联网成像协议 (IIP) 已得到扩展,以实现对三维数据的任意二维切片以及多层图像和索引覆盖的支持。扩展后的协议称为 IIP3D,我们已经实现了一个匹配服务器来提供协议和一系列将在 Internet 浏览器中运行的 Ajax/Javascript 客户端代码。我们已经在低成本的基于 Linux 的服务器上对图像体积高达 135GB 和 64 个并发用户的服务器软件进行了测试。切片视图的传输响应时间与规模和方向无关。提供的示例客户端具有用户控制的彩色过滤和覆盖的多层图像视图。

结论

通过使用扩展的互联网协议和基于服务器的高效图像平铺,实现了对大容量生物医学图像体积的任意切片的交互式浏览。该工具使无需下载整个图像以及使用具有非常大内存配置的客户端计算机,就能够快速访问大型图像存档成为可能。该系统使用了一系列医学和生物医学图像数据进行了演示,单个图像体积最大可达 135GB。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b54/3412715/ecb2761726e9/1471-2105-13-122-1.jpg

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