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Computed Tomography

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Related Experiment Video

Updated: May 13, 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

Frequency split metal artefact reduction in pelvic computed tomography.

M M Lell1, E Meyer, M Schmid

  • 1Department of Radiology, University of Erlangen, Maximiliansplatz 1, 91054, Erlangen, Germany. michael.lell@uk-erlangen.de

European Radiology
|March 23, 2013
PubMed
Summary

Metal artefacts from hip replacements significantly hinder computed tomography (CT) imaging. A novel frequency split (FS) technique combined with normalised metal artefact reduction (NMAR) algorithm, known as FSNMAR, effectively suppresses these artefacts, improving pelvic imaging quality.

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Last Updated: May 13, 2026

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Area of Science:

  • Medical Imaging
  • Radiology
  • Computational Imaging

Background:

  • Total hip replacements and other orthopaedic hardware commonly cause artefacts in computed tomography (CT) scans.
  • These metal artefacts degrade image quality, complicating the visualisation of pelvic organs, lymph nodes, and vessels.
  • Existing metal artefact reduction (MAR) algorithms have limitations in fully addressing these imaging challenges.

Purpose of the Study:

  • To evaluate the efficacy of a frequency split (FS) technique combined with normalised metal artefact reduction (NMAR) for reducing artefacts caused by orthopaedic hardware in CT imaging.
  • To compare the performance of the proposed FSNMAR algorithm against conventional methods like filtered back projection (FBP) and linear interpolation MAR (LIMAR).
  • To assess the improvement in image quality and diagnostic accuracy for pelvic structures in patients with hip implants.

Main Methods:

  • CT data from ten patients with metal artefacts from hip replacements or osteosynthesis were retrospectively analyzed.
  • Images were reconstructed using filtered back projection (FBP), linear interpolation MAR (LIMAR), NMAR, FSLIMAR (FS + LIMAR), and FSNMAR (FS + NMAR).
  • Image quality and artefact severity were quantitatively and qualitatively assessed by radiologists.

Main Results:

  • Both NMAR and FSNMAR significantly improved the assessment of pelvic organs, lymph nodes, and vessels compared to FBP, LIMAR, and FSLIMAR (P < 0.05).
  • The addition of the frequency split (FS) technique, in FSLIMAR and FSNMAR, further enhanced the assessment of metal hardware, joint, and surrounding capsule.
  • No algorithm-induced artefacts were observed in metal-free regions, indicating specificity of the artefact reduction.

Conclusions:

  • NMAR and FSNMAR algorithms show significant potential to improve CT image quality in patients with orthopaedic metallic hardware.
  • FSNMAR demonstrated superior ability in visualising adjacent bone and tissue near metal implants, despite minor algorithm-induced artefacts.
  • These advanced MAR techniques can enhance diagnostic accuracy for pelvic pathologies in the presence of orthopaedic implants.