Managing and Collaboratively Processing Medical Image via the Web

This article presents a strategy for medical image management. Based on the database named AUDR (Advanced Unstructured Data Repository) developed by Beihang University, a web-based system for medical image management and collaborative processing is built. Different from other applications, the syste...

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Bibliographic Details
Published inWeb-Age Information Management pp. 252 - 263
Main Authors Shen, Hualei, Ma, Dianfu, Zhao, Yongwang, Yang, Chunyao, Sun, Sujun, Lang, Bo
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2012
SeriesLecture Notes in Computer Science
Subjects
AUDR
Collaboration
Medical Image
Tetrahedral Data Model
Unstructured Data
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Summary:This article presents a strategy for medical image management. Based on the database named AUDR (Advanced Unstructured Data Repository) developed by Beihang University, a web-based system for medical image management and collaborative processing is built. Different from other applications, the system is accessed via web browser, and allows both text-based and content-based retrieval of medical images in DICOM format. Besides, the system allows geographically separated radiologists to process and interpret the same medical image simultaneously. To import medical image into AUDR, a strategy for DICOM image import is proposed. To implement the system, a collaboration framework and a method for image transmission is proposed. System evaluation in terms of functionality and performance has been performed in order to prove the availability of the system.
ISBN:9783642330490
3642330495
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-33050-6_25