Title

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

Authors

Authors

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

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

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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