Related Experiment Videos
Prism: a new approach to radiotherapy planning software
I J Kalet1, J P Jacky, M M Austin-Seymour
1Radiation Oncology Department, University of Washington, Seattle, 98195-6043, USA.
International Journal of Radiation Oncology, Biology, Physics
|September 1, 1996
Summary
Prism is an innovative radiotherapy planning system offering AI tools and multileaf collimator support. Its flexible design enhances clinical usability and research in radiation treatment planning.
Area of Science:
- Medical Physics
- Radiation Oncology
- Software Engineering
Background:
- Radiotherapy planning systems require high quality and clinical acceptability.
- Innovative features and flexible design are crucial for advancing treatment planning software.
Purpose of the Study:
- To describe the capabilities and performance of the Prism radiotherapy planning system.
- To highlight its unique features, including AI tools and multileaf collimator (MLC) support.
- To demonstrate its design for high quality, clinical acceptability, operational flexibility, and ease of expansion.
Main Methods:
- Implementation of Prism, a 3D radiotherapy treatment-planning system on standard workstations using the X window system.
- Application of software engineering research principles, including behavioral entity-relationship modeling and the "Mediator Method".
- Inclusion of standard 3D planning features, a rule-based expert system for automated planning target volume generation, and specialized MLC support.
Main Results:
- Prism has been in clinical use since 1994 at the University of Washington and other clinics.
- The system supports simultaneous multi-user access from networked workstations and a common database.
- Radiation oncologists, dosimetrists, and radiation therapists utilize Prism for defining volumes and selecting treatment setups.
Conclusions:
- The Prism system's design is effective for both clinical and research applications.
- Integration of software tools has improved development efficiency and clinical usability.
- The system provides a robust foundation for future innovations in radiation treatment planning software and research.