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

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Technical note: DIRART--A software suite for deformable image registration and adaptive radiotherapy research.

Deshan Yang¹, Scott Brame, Issam El Naqa

¹Department of Radiation Oncology, School of Medicine, Washington University, Saint Louis, Missouri 63110, USA. dyang@radonc.wustl.edu

Medical Physics

|March 3, 2011

Summary

Researchers developed the Deformable Image Registration and Adaptive Radiotherapy Toolkit (DIRART), an open-source software suite to advance adaptive radiotherapy (ART) research and clinical applications.

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Area of Science:

Medical Physics
Radiotherapy Technology
Image Processing

Background:

Advancements in image-guided radiotherapy have increased interest in adaptive treatment planning and delivery.
A lack of open-source software tools has hindered research in adaptive radiotherapy (ART).

Purpose of the Study:

To address the need for an open-source ART software toolkit.
To introduce the Deformable Image Registration and Adaptive Radiotherapy Toolkit (DIRART).

Main Methods:

DIRART is an open-source toolkit developed in MATLAB with an object-oriented design.
It includes four classes of deformable image registration (DIR) algorithms, inverse consistency algorithms, ART functions, a GUI, and visualization tools.
DIRART interfaces with the Computational Environment for Radiotherapy Research (CERR) and ITK.

Main Results:

DIRART offers image processing and registration algorithms for developing and testing DIR methods.
The toolkit provides extensive options for visualizing, evaluating, and validating DIR results.

Conclusions:

DIRART facilitates ART and DIR research by providing a flexible platform.
It enables data exchange with treatment planning systems and integrates DIR algorithms with radiotherapy applications.