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Web tools for large-scale 3D biological images and atlases
Zsolt L Husz1, Nicholas Burton, Bill Hill
1MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Crewe Road, UK.
BMC Bioinformatics
|June 9, 2012
Summary
Large-scale 3D biomedical image browsing is now possible with IIP3D, an extended internet imaging protocol. This system delivers compressed 2D section views for efficient access to massive image archives without requiring large downloads or high-spec computers.
Area of Science:
- Biomedical Imaging
- Computer Science
- Data Visualization
Background:
- Large-scale 3D biomedical image data (exceeding 10GB) presents significant challenges for distributed browsing and visualization due to RAM and bandwidth limitations.
- Accessing numerous large image files from archives exacerbates handling difficulties for users.
Purpose of the Study:
- To develop a system for efficient browsing and visualization of large-scale volumetric biomedical image data.
- To enable interactive exploration of 2D section views from multi-dimensional image archives via a web browser.
Main Methods:
- Extended the standard Internet Imaging Protocol (IIP) to IIP3D, enabling arbitrary 2D sectioning of 3D data, multi-layered images, and overlays.
- Implemented a server to deliver the IIP3D protocol and developed Ajax/Javascript client code for web browser integration.
- Tested the system on a low-cost Linux server with image volumes up to 135GB and 64 simultaneous users.
Main Results:
- Delivered section views with response times independent of scale and orientation, regardless of image volume size.
- The system successfully handled image volumes up to 135GB with 64 concurrent users.
- Provided an exemplar client with multi-layer image views, including user-controlled color filtering and spatial data overlays.
Conclusions:
- Interactive browsing of arbitrary sections through large biomedical image volumes is achievable using the extended IIP3D protocol and server-based image tiling.
- The developed tools facilitate fast access to large image archives, eliminating the need for full image downloads and high-memory client computers.
- Demonstrated the system's capability with diverse medical and biomedical image data, including volumes up to 135GB.

