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

Deshan Yang, Scott Brame, Issam El Naqa, Apte Aditya, Yu Wu, S. Murty Goddu, Sasa Mutic, Joseph O. Deasy, Daniel A. Low

Research output: Contribution to journalArticlepeer-review

70 Scopus citations

Abstract

Purpose: Recent years have witnessed tremendous progress in image guide radiotherapy technology and a growing interest in the possibilities for adapting treatment planning and delivery over the course of treatment. One obstacle faced by the research community has been the lack of a comprehensive open-source software toolkit dedicated for adaptive radiotherapy (ART). To address this need, the authors have developed a software suite called the Deformable Image Registration and Adaptive Radiotherapy Toolkit (DIRART). Methods: DIRART is an open-source toolkit developed in MATLAB. It is designed in an object-oriented style with focus on user-friendliness, features, and flexibility. It contains four classes of DIR algorithms, including the newer inverse consistency algorithms to provide consistent displacement vector field in both directions. It also contains common ART functions, an integrated graphical user interface, a variety of visualization and image-processing features, dose metric analysis functions, and interface routines. These interface routines make DIRART a powerful complement to the Computational Environment for Radiotherapy Research (CERR) and popular image-processing toolkits such as ITK. Results: DIRART provides a set of image processing/registration algorithms and postprocessing functions to facilitate the development and testing of DIR algorithms. It also offers a good amount of options for DIR results visualization, evaluation, and validation. Conclusions: By exchanging data with treatment planning systems via DICOM-RT files and CERR, and by bringing image registration algorithms closer to radiotherapy applications, DIRART is potentially a convenient and flexible platform that may facilitate ART and DIR research.

Original languageEnglish
Pages (from-to)67-77
Number of pages11
JournalMedical physics
Volume38
Issue number1
DOIs
StatePublished - Jan 2011

Keywords

  • CERR
  • MATLAB
  • adaptive radiotherapy
  • deformation
  • image processing
  • image registration
  • image segmentation
  • open source
  • voxel mapping

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