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Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources

Published on: October 6, 2023

Development of a radiation therapy open-source platform.

Oxana Grunwald¹, Jurgen Ruhlmann, Thorsten Buzug

¹Department of Mathematics and Technology, RheinAhrCampus Remagen, D-53424 Remagen, Germany.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

|February 7, 2007

Summary

This project develops an open-source radiotherapy planning system, starting with a visualization module for medical image registration and display. This aims to provide a foundation for customized radiotherapy solutions.

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Area of Science:

Medical Physics
Radiotherapy
Medical Imaging

Background:

Existing radiotherapy planning solutions often fail to meet diverse customer needs.
There is a need for adaptable and open-source radiotherapy planning systems.
A robust visualization module is crucial for radiotherapy planning components like dose calculation and beam modeling.

Purpose of the Study:

To develop an open-source radiotherapy planning system.
To create a foundational framework for individualized radiotherapy solutions.
To implement a visualization module as the initial phase of the project.

Main Methods:

Development of a visualization module supporting 2D and 3D display of CT, MRI, and PET DICOM images.
Implementation of image registration using Normalized Mutual Information.
Incorporation of 2D and 3D visualization of registered images and user interaction.

Main Results:

An outline of the proposed open-source radiotherapy planning system is presented.
The initial development of a registration module, a key component of the visualization module, is detailed.
The visualization module will handle multi-modal image data and facilitate user interaction.

Conclusions:

The developed visualization module, including image registration, is the first step towards an open-source radiotherapy planning system.
This open-source approach aims to provide a flexible platform for customized radiotherapy solutions.
Further development will build upon this visualization module for advanced radiotherapy planning features.