BrainIACS: a system for web-based medical image processing

Bhaskar Kishore; Pierre-Louis Bazin; Dzung L. Pham

doi:10.1117/12.813798

13 March 2009 BrainIACS: a system for web-based medical image processing

Bhaskar Kishore, Pierre-Louis Bazin, Dzung L. Pham

Author Affiliations +

Proceedings Volume 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications; 72640P (2009) https://doi.org/10.1117/12.813798
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

We describe BrainIACS, a web-based medical image processing system that permits and facilitates algorithm developers to quickly create extensible user interfaces for their algorithms. Designed to address the challenges faced by algorithm developers in providing user-friendly graphical interfaces, BrainIACS is completely implemented using freely available, open-source software. The system, which is based on a client-server architecture, utilizes an AJAX front-end written using the Google Web Toolkit (GWT) and Java Servlets running on Apache Tomcat as its back-end. To enable developers to quickly and simply create user interfaces for configuring their algorithms, the interfaces are described using XML and are parsed by our system to create the corresponding user interface elements. Most of the commonly found elements such as check boxes, drop down lists, input boxes, radio buttons, tab panels and group boxes are supported. Some elements such as the input box support input validation. Changes to the user interface such as addition and deletion of elements are performed by editing the XML file or by using the system's user interface creator. In addition to user interface generation, the system also provides its own interfaces for data transfer, previewing of input and output files, and algorithm queuing. As the system is programmed using Java (and finally Java-script after compilation of the front-end code), it is platform independent with the only requirements being that a Servlet implementation be available and that the processing algorithms can execute on the server platform.

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Bhaskar Kishore, Pierre-Louis Bazin, and Dzung L. Pham "BrainIACS: a system for web-based medical image processing", Proc. SPIE 7264, Medical Imaging 2009: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 72640P (13 March 2009); https://doi.org/10.1117/12.813798

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KEYWORDS

Human-machine interfaces

Algorithm development

Phase modulation

Java

Medical imaging

Image processing

Interfaces

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