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SU-E-J-92: CERR: New Tools to Analyze Image Registration Precision.

A Apte1, Y Wang1, J Oh1

  • 1Memorial Sloan Kettering Cancer Center, New York, NY.

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|May 19, 2017
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Summary

New tools in the Computational Environment for Radiotherapy Research (CERR) enhance image registration analysis. MirrorScope offers an intuitive visual method for assessing registration accuracy in radiotherapy research.

Keywords:
Computer softwareDatabasesDosimetryExperiment designImage analysisImage registrationIntensity modulated radiation therapyMedical imagingMirrorsRadiation therapy

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Area of Science:

  • Radiotherapy research
  • Medical image analysis
  • Computational environments

Background:

  • The Computational Environment for Radiotherapy Research (CERR) is a widely cited platform for radiotherapy research.
  • Image registration is crucial for many radiotherapy research studies, including outcomes modeling and algorithm prototyping.

Purpose of the Study:

  • To introduce new software tools and updates within CERR.
  • To enhance the analysis of image registration accuracy and other research functionalities.

Main Methods:

  • CERR has been integrated with image registration frameworks (Plastimatch, ITK).
  • New analysis tools include Distance Discordance Histograms (DDH) and MirrorScope for evaluating registration accuracy.
  • Programmatic feature extraction and interfacing with statistical software (SPSS, Matlab) were implemented.

Main Results:

  • MirrorScope visually identifies accurate registrations through symmetric patterns.
  • Asymmetrical patterns in MirrorScope indicate regions of registration imperfection.

Conclusions:

  • CERR updates enhance its utility for radiotherapy research.
  • MirrorScope provides an intuitive and effective method for monitoring image registration accuracy, surpassing traditional visual methods.