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Updated: Jun 4, 2026

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
08:19

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Published on: May 17, 2018

An algorithm for efficient metal artifact reductions in permanent seed.

Chen Xu1, Frank Verhaegen, Denis Laurendeau

  • 1Département de Radio-Oncologie et Centre de Recherche en Cancérologie, Université Laval, Centre Hospitalier Universitaire de Québec, 11 Côte du Palais, Québec, Québec G1R 2J6, Canada.

Medical Physics
|March 3, 2011
PubMed
Summary
This summary is machine-generated.

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A new method automatically reduces metal artifacts in CT scans caused by prostate brachytherapy seeds. This technique improves image quality for more accurate radiation therapy planning.

Area of Science:

  • Medical Imaging
  • Radiotherapy Physics
  • Computational Imaging

Background:

  • Prostate brachytherapy involves implanting numerous small metal seeds.
  • These seeds cause significant artifacts in X-ray computed tomography (CT) imaging.
  • Artifacts hinder accurate assessment and treatment planning.

Purpose of the Study:

  • To develop an automatic metal artifact reduction (MAR) method.
  • Specifically designed for small objects like brachytherapy seeds.
  • To improve clinical applications of CT imaging in radiotherapy.

Main Methods:

  • Utilizes raw helical CT data (sinogram) for artifact correction.
  • Reconstructs an initial image and segments metal seeds.
  • Reprojects segmented seeds to create a metal-only sinogram.

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Last Updated: Jun 4, 2026

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
08:19

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Published on: May 17, 2018

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  • Employs the Steger method for precise seed edge detection.
  • Interpolates missing projections using neighboring data.

    • Main Results:

    • Successfully detected missing projections in phantom and patient data.
    • Substantially reduced artifacts caused by metallic brachytherapy seeds.
    • Corrected images showed uniformity indistinguishable from the true background.
    • Demonstrated effective artifact reduction in sinogram space.

    Conclusions:

    • Developed an efficient algorithm for MAR in seed brachytherapy.
    • The method accurately detects and corrects artifacts from numerous small metal objects.
    • Enables more precise dose calculations for advanced radiotherapy techniques.
    • Facilitates improved accuracy in Monte Carlo simulations for treatment planning.