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Medical Physics· 2017Q1

Use of image registration and fusion algorithms and techniques in radiotherapy: Report of the AAPM Radiation Therapy Committee Task Group No. 132

Kristy K. Brock, Sasa Mutic, Todd McNutt, Hua Li et al.

Short summary

This report addresses the critical but often opaque role of image registration and fusion in radiotherapy, highlighting the lack of standardized validation and documentation for these essential software processes.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Image registration and fusion are used in nearly all radiotherapy software for planning and delivery.
  • These techniques are crucial for using multimodality images, tracking anatomical changes, and enabling adaptive radiotherapy.
  • There is no standard mathematical framework to assess the uncertainty of registration results in clinical scenarios.
  • Commercial systems often lack sufficient documentation, leading to 'black-box' usage.

AI-generated from the title and abstract; the full text is not read.

Abstract

Image registration and fusion algorithms exist in almost every software system that creates or uses images in radiotherapy. Most treatment planning systems support some form of image registration and fusion to allow the use of multimodality and time-series image data and even anatomical atlases to assist in target volume and normal tissue delineation. Treatment delivery systems perform registration and fusion between the planning images and the in-room images acquired during the treatment to assist patient positioning. Advanced applications are beginning to support daily dose assessment and enable adaptive radiotherapy using image registration and fusion to propagate contours and accumulate dose between image data taken over the course of therapy to provide up-to-date estimates of anatomical changes and delivered dose. This information aids in the detection of anatomical and functional changes that might elicit changes in the treatment plan or prescription. As the output of the image registration process is always used as the input of another process for planning or delivery, it is important to understand and communicate the uncertainty associated with the software in general and the result of a specific registration. Unfortunately, there is no standard mathematical formalism to perform this for real-world situations where noise, distortion, and complex anatomical variations can occur. Validation of the software systems performance is also complicated by the lack of documentation available from commercial systems leading to use of these systems in undesirable 'black-box' fashion. In view of this situation and the central role that image registration and fusion play in treatment planning and delivery, the Therapy Physics Committee of the American Association of Physicists in Medicine commissioned Task Group 132 to review current approaches and solutions for image registration (both rigid and deformable) in radiotherapy and to provide recommendations for quality assurance and quality control of these clinical processes.

The authors' abstract, as published at the source. Medical Physics, 2017 · DOI ↗

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Field: Radiation

RadiationPhysics and Astronomy