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Proceedings Paper

Object-oriented framework for rapid development of image analysis applications
Author(s): Weidong Liang; Xiangmin Zhang; Milan Sonka
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Paper Abstract

Image analysis applications are usually composed of a set of graphic objects, a set of image processing algorithms, and a graphic user interface (GUI). Typically, developing an image analysis application is time-consuming and the developed programs are hard to maintain. We have developed a framework called IMANAL that aims at reducing the development costs by improving system maintainability, design change flexibility, component reusability, and human-computer interaction. IMANAL decomposes an image analysis application into three models; data model, process model, and GUI model. The three models as well as the collaboration among them are standardized into a unified system architecture. A new application can be developed rapidly by customizing task- specific building blocks within the unified architecture. IMANAL maintains a class library of more than 100,000 lines of C/C++ code that are highly reusable for creating the three above mentioned models. Software components from other sources such as Khoros can also be easily included in the applications. IMANAL was used for development of image analysis applications utilizing a variety of medical images such as x-ray coronary angiography, intracardiac, intravascular and brachial ultrasound, and pulmonary CT. In all the above listed applications, the development overhead is removed and the developer is able to fully focus on the image analysis algorithms. IMANAL has proven to be a useful tool for image analysis research as well as the prototype development tool for commercial image analysis applications.

Paper Details

Date Published: 25 April 1997
PDF: 7 pages
Proc. SPIE 3034, Medical Imaging 1997: Image Processing, (25 April 1997); doi: 10.1117/12.274154
Show Author Affiliations
Weidong Liang, Univ. of Iowa (United States)
Xiangmin Zhang, Taligent Inc. (United States)
Milan Sonka, Univ. of Iowa (United States)

Published in SPIE Proceedings Vol. 3034:
Medical Imaging 1997: Image Processing
Kenneth M. Hanson, Editor(s)

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