Conference proceeding
Object-oriented framework for rapid development of image analysis applications
Proceedings of SPIE, Vol.3034(1), pp.682-688
Medical Imaging 1997: Image Processing
04/25/1997
DOI: 10.1117/12.274154
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.
Details
- Title: Subtitle
- Object-oriented framework for rapid development of image analysis applications
- Creators
- Weidong Liang - University of IowaXiangmin Zhang - Taligent Inc. (USA)Milan Sonka - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.3034(1), pp.682-688
- Conference
- Medical Imaging 1997: Image Processing
- DOI
- 10.1117/12.274154
- ISSN
- 0277-786X
- Language
- English
- Date published
- 04/25/1997
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186707802771
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