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Internet (WWW) based system of ultrasonic image processing tools for remote image analysis
Hong Zeng1, Ding-Yu Fei, Cai-Ting Fu
1Department of Biomedical Engineering, Medical College of Virginia, Virginia Commonwealth University, P.O. Box 980694, Richmond, VA 23298, USA.
Computer Methods and Programs in Biomedicine
|June 12, 2003
Summary
A new web-based system allows easy access to ultrasonic Angle Independent Doppler Color Image (AIDCI) processing algorithms. This facilitates remote analysis of ultrasound images, overcoming platform incompatibilities for researchers and physicians.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Web Technologies
Background:
- Ultrasonic Doppler color imaging provides anatomical and blood flow data for diagnostics.
- Current ultrasound image processing algorithms are difficult to access due to diverse platforms and programming languages.
- A need exists for accessible, cross-platform solutions for analyzing ultrasound images.
Purpose of the Study:
- To develop a system for publishing and accessing ultrasonic image processing algorithms via the internet.
- To enable remote analysis of ultrasonic images using web browsers.
- To overcome platform incompatibility issues in accessing and utilizing these algorithms.
Main Methods:
- Utilized World Wide Web (WWW) technologies and HTTP communication protocols.
- Developed an Angle Independent Doppler Color Image (AIDCI) processing algorithm and measurement tools.
- Integrated ActiveX technology to ensure cross-platform compatibility.
Main Results:
- A functional web-based system for accessing the AIDCI processing algorithm was established.
- Authorized users can perform remote analysis of local or database-provided ultrasonic images.
- ActiveX technology successfully addressed potential program-user platform incompatibilities.
Conclusions:
- The developed system enhances accessibility and usability of advanced ultrasound image processing tools.
- This approach can be applied to other research fields requiring distributed access to specialized software.
- Web technologies offer a viable solution for sharing and utilizing complex biomedical algorithms.