A generic framework for Internet-based interactive applications of high-resolution 3-D medical image data

    Authors

    D. Z. Liu; K. A. Hua;K. Sugaya

    Comments

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    Abbreviated Journal Title

    IEEE T. Inf. Technol. Biomed.

    Keywords

    3-D high-resolution image data; 3-D slicer; concurrent accesses; indexing; Internet-based interactive applications; region of interest; (ROI); Computer Science, Information Systems; Computer Science, ; Interdisciplinary Applications; Mathematical & Computational Biology; Medical Informatics

    Abstract

    With the advances in medical imaging devices, large volumes of high-resolution 3-D medical image data have been produced. These high-resolution 3-D data are very large in size, and severely stress storage systems and networks. Most existing Internet-based 3-D medical image interactive applications therefore deal with only low- or medium-resolution image data. While it is possible to download the whole 3-D high-resolution image data from the server and perform the image visualization and analysis at the client site, such an alternative is infeasible when the high-resolution data are very large, and many users concurrently access the server. In this paper, we propose a novel framework for Internet-based interactive applications of high-resolution 3-D medical image data. Specifically, we first partition the whole 3-D data into buckets, remove the duplicate buckets, and then, compress each bucket separately. We also propose an index structure for these buckets to efficiently support typical queries such as 3-D slicer and region of interest, and only the relevant buckets are transmitted instead of the whole high-resolution 3-D medical image data. Furthermore, in order to better support concurrent accesses and to improve the average response time, we also propose techniques for efficient query processing, incremental transmission, and client sharing. Our experimental study in simulated and realistic environments indicates that the proposed framework can significantly reduce storage and communication requirements, and can enable real-time interaction with remote high-resolution 3-D medical image data for many concurrent users.

    Journal Title

    Ieee Transactions on Information Technology in Biomedicine

    Volume

    12

    Issue/Number

    5

    Publication Date

    1-1-2008

    Document Type

    Article

    Language

    English

    First Page

    618

    Last Page

    626

    WOS Identifier

    WOS:000259571700008

    ISSN

    1089-7771

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