A HTTP-based medical image server compatible with evolving wireless communications infrastructures

Zhanlin Ji; Ivan Ganchev; Máirtín O'Droma; Robert Sadleir

doi:10.1049/cp:20070795

A HTTP-based medical image server compatible with evolving wireless communications infrastructures

Zhanlin Ji
, Ivan Ganchev
, Máirtín O'Droma
, Robert Sadleir

University of Limerick
Dublin City University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a HTTP-based medical image server for the analysis, processing and transmission of medical images (e.g. DICOM, ANALYZES, CTC) realized on the server side, and displaying the results on the client side (handheld terminals, laptops), using the existing or upcoming wireless/wired Internet/Intranet telecommunications infrastructures. The medical image server runs on a lightweight 3-tier J2EE architecture. In the persistence tier, a number of image archives, a relational database and an index database are used for saving the medical images, user profiles and index data respectively. In the application tier, a set of APIs supports medical images loading, analysis and processing, helped by an intelligent business-logic API acting as a bridge between the persistence tier and the web tier. In the web tier, an Applet/Xlet, running on a laptop/handheld terminal, communicates with the server side using the HTTP protocol. With this HTTP-based medical image server, users can upload, retrieve, analyze, and process medical images behind firewalls in an effective and secure way.

Original language	English
Title of host publication	China-Ireland International Conference on Information and Communications Technologies, CIICT 2007
Pages	914-921
Number of pages	8
Edition	529 CP
DOIs	https://doi.org/10.1049/cp:20070795
Publication status	Published - 2007
Event	China-Ireland International Conference on Information and Communications Technologies, CIICT 2007 - Dublin, Ireland Duration: 28 Aug 2007 → 29 Aug 2007

Publication series

Name	IET Conference Publications
Number	529 CP

Conference

Conference	China-Ireland International Conference on Information and Communications Technologies, CIICT 2007
Country/Territory	Ireland
City	Dublin
Period	28/08/07 → 29/08/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

ANALYZE and CTC
Applet & Xlet
DICOM
J2EE
Medical Image Analysis & Processing
UCWW

Access to Document

10.1049/cp:20070795

Cite this

@inproceedings{31b0c6169a324377be7e93c20471cbb8,

title = "A HTTP-based medical image server compatible with evolving wireless communications infrastructures",

abstract = "This paper proposes a HTTP-based medical image server for the analysis, processing and transmission of medical images (e.g. DICOM, ANALYZES, CTC) realized on the server side, and displaying the results on the client side (handheld terminals, laptops), using the existing or upcoming wireless/wired Internet/Intranet telecommunications infrastructures. The medical image server runs on a lightweight 3-tier J2EE architecture. In the persistence tier, a number of image archives, a relational database and an index database are used for saving the medical images, user profiles and index data respectively. In the application tier, a set of APIs supports medical images loading, analysis and processing, helped by an intelligent business-logic API acting as a bridge between the persistence tier and the web tier. In the web tier, an Applet/Xlet, running on a laptop/handheld terminal, communicates with the server side using the HTTP protocol. With this HTTP-based medical image server, users can upload, retrieve, analyze, and process medical images behind firewalls in an effective and secure way.",

keywords = "ANALYZE and CTC, Applet \& Xlet, DICOM, J2EE, Medical Image Analysis \& Processing, UCWW",

author = "Zhanlin Ji and Ivan Ganchev and M{\'a}irt{\'i}n O'Droma and Robert Sadleir",

year = "2007",

doi = "10.1049/cp:20070795",

language = "English",

isbn = "9780863418273",

series = "IET Conference Publications",

number = "529 CP",

pages = "914--921",

booktitle = "China-Ireland International Conference on Information and Communications Technologies, CIICT 2007",

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note = "China-Ireland International Conference on Information and Communications Technologies, CIICT 2007 ; Conference date: 28-08-2007 Through 29-08-2007",

}

Ji, Z, Ganchev, I, O'Droma, M & Sadleir, R 2007, A HTTP-based medical image server compatible with evolving wireless communications infrastructures. in China-Ireland International Conference on Information and Communications Technologies, CIICT 2007. 529 CP edn, IET Conference Publications, no. 529 CP, pp. 914-921, China-Ireland International Conference on Information and Communications Technologies, CIICT 2007, Dublin, Ireland, 28/08/07. https://doi.org/10.1049/cp:20070795

A HTTP-based medical image server compatible with evolving wireless communications infrastructures. / Ji, Zhanlin; Ganchev, Ivan; O'Droma, Máirtín et al.
China-Ireland International Conference on Information and Communications Technologies, CIICT 2007. 529 CP. ed. 2007. p. 914-921 (IET Conference Publications; No. 529 CP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ganchev, Ivan

AU - O'Droma, Máirtín

AU - Sadleir, Robert

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Y1 - 2007

N2 - This paper proposes a HTTP-based medical image server for the analysis, processing and transmission of medical images (e.g. DICOM, ANALYZES, CTC) realized on the server side, and displaying the results on the client side (handheld terminals, laptops), using the existing or upcoming wireless/wired Internet/Intranet telecommunications infrastructures. The medical image server runs on a lightweight 3-tier J2EE architecture. In the persistence tier, a number of image archives, a relational database and an index database are used for saving the medical images, user profiles and index data respectively. In the application tier, a set of APIs supports medical images loading, analysis and processing, helped by an intelligent business-logic API acting as a bridge between the persistence tier and the web tier. In the web tier, an Applet/Xlet, running on a laptop/handheld terminal, communicates with the server side using the HTTP protocol. With this HTTP-based medical image server, users can upload, retrieve, analyze, and process medical images behind firewalls in an effective and secure way.

AB - This paper proposes a HTTP-based medical image server for the analysis, processing and transmission of medical images (e.g. DICOM, ANALYZES, CTC) realized on the server side, and displaying the results on the client side (handheld terminals, laptops), using the existing or upcoming wireless/wired Internet/Intranet telecommunications infrastructures. The medical image server runs on a lightweight 3-tier J2EE architecture. In the persistence tier, a number of image archives, a relational database and an index database are used for saving the medical images, user profiles and index data respectively. In the application tier, a set of APIs supports medical images loading, analysis and processing, helped by an intelligent business-logic API acting as a bridge between the persistence tier and the web tier. In the web tier, an Applet/Xlet, running on a laptop/handheld terminal, communicates with the server side using the HTTP protocol. With this HTTP-based medical image server, users can upload, retrieve, analyze, and process medical images behind firewalls in an effective and secure way.

KW - ANALYZE and CTC

KW - Applet & Xlet

KW - DICOM

KW - J2EE

KW - Medical Image Analysis & Processing

KW - UCWW

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DO - 10.1049/cp:20070795

M3 - Conference contribution

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SN - 9780863418273

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BT - China-Ireland International Conference on Information and Communications Technologies, CIICT 2007

T2 - China-Ireland International Conference on Information and Communications Technologies, CIICT 2007

Y2 - 28 August 2007 through 29 August 2007

ER -

A HTTP-based medical image server compatible with evolving wireless communications infrastructures

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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