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Related Concept Videos

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Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
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Related Experiment Video

Updated: Mar 24, 2026

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
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Iterative metal artifact reduction improves dose calculation accuracy : Phantom study with dental implants.

Manuel Maerz1, Pia Mittermair2, Andreas Krauss3

  • 1Department of Radiotherapy, Regensburg University Medical Center, 93042, Regensburg, Germany. manuel.maerz@klinik.uni-regensburg.de.

Strahlentherapie Und Onkologie : Organ Der Deutschen Rontgengesellschaft ... [Et Al]
|March 13, 2016
PubMed
Summary

Iterative metal artifact reduction (iMAR) significantly improves Hounsfield unit accuracy and radiation dose calculation accuracy in CT scans with metallic dental implants. This advanced algorithm enhances treatment planning by reducing artifacts from dental materials.

Keywords:
Dental implantsDose calculationGafchromicMARMetal artifact reductionMetal artifactsRadiation therapy

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Image Processing

Background:

  • Metallic dental implants in computed tomography (CT) scans generate severe streaking artifacts.
  • These artifacts compromise the accuracy of radiation dose calculations in radiotherapy.

Purpose of the Study:

  • To evaluate the effectiveness of the iterative metal artifact reduction (iMAR) algorithm.
  • To assess iMAR's impact on Hounsfield unit (HU) accuracy and radiation dose calculation precision.

Main Methods:

  • CT data from phantoms with metallic dental implants were acquired.
  • Artifacts were corrected using the iMAR algorithm.
  • HU accuracy was compared to synthetic CT data; dose calculations (IMRT, VMAT) were validated with Gafchromic™ EBT3 films.

Main Results:

  • iMAR significantly improved HU accuracy, reducing average deviation from 1006 HU to 408 HU near metal and 283 HU to 33 HU in surrounding tissue.
  • Mean gamma passing rate (3%/3mm) for dose calculations increased from 90.6% to 96.2% after iMAR correction.
  • Dose calculation accuracy was significantly enhanced across all phantom types and treatment plans.

Conclusions:

  • The iMAR algorithm effectively reduces metal artifacts in CT data.
  • Applying iMAR leads to a substantial improvement in radiation dose calculation accuracy for patients with metallic dental implants.