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Related Experiment Video

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SU-E-J-97: Evaluation of Multi-Modality (CT/MR/PET) Image Registration Accuracy in Radiotherapy Planning.

A Sethi1, I Rusu1, M Surucu1

  • 1Loyola University Medical Center, Maywood, IL.

Medical Physics
|May 19, 2017
PubMed
Summary

Multi-modality image registration accuracy in radiotherapy planning was evaluated. CT/CT registration (0.64 mm) outperformed CT/MR (1.33 mm) and CT/PET (1.11 mm), highlighting the need for quality assurance in treatment planning.

Keywords:
Computed tomographyData fusionImage registrationImage scannersMedical image qualityMedical imagingMedical magnetic resonance imagingMedical treatment planningPositron emission tomographyRadiation therapy

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Medical Imaging

Background:

  • Multimodality imaging is increasingly used in radiotherapy planning.
  • Accurate image registration is critical for precise radiation delivery.
  • Evaluating registration accuracy across different imaging modalities is essential.

Purpose of the Study:

  • To assess the accuracy of multi-modality image registration within the radiotherapy planning workflow.
  • To compare registration accuracy between CT/CT, CT/MR, and CT/PET fusions.

Main Methods:

  • An anthropomorphic head phantom with internal and external fiducial markers was used.
  • CT, MR (T1, T2 axial, T1 coronal), and PET image sets were acquired.
  • Automated mutual-information based fusion algorithm aligned all images to a baseline CT scan.

Main Results:

  • CT/CT registration achieved the highest accuracy with an average error of 0.64 ± 0.14 mm.
  • CT/MR and CT/PET registration errors were higher at 1.33 ± 0.71 mm and 1.11 ± 0.37 mm, respectively.
  • Internal markers showed better fusion accuracy than external markers, suggesting potential MR distortion and PET parallax errors.

Conclusions:

  • Periodic quality assurance of image registration is vital due to the widespread use of multimodality imaging in radiotherapy.
  • Improving registration accuracy enhances the safety and precision of cancer treatment planning.