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Related Experiment Video

Updated: Jul 10, 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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SU-E-J-17: Evaluation of Metal Artifact Reduction in MVCTs Using a Model Based Image Reconstruction Method.

M Paudel¹, M MacKenzie¹, B Fallone¹

¹University of Alberta, Department of Oncology, Edmonton, AB, Canada.

Medical Physics

|May 19, 2017

Summary

Metal artifacts in megavoltage CT (MVCT) images were reduced using an iterative reconstruction algorithm. This model-based approach significantly improved image quality compared to filtered-back projection (FBP).

Keywords:

Computed tomography Electron beams Graduates Image reconstruction Image restoration Image sensors Medical image reconstruction Medical imaging Optimization Science funding

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Area of Science:

Medical Imaging
Image Reconstruction
Computational Phantoms

Background:

Metal artifacts, particularly dark shading caused by beam hardening, are a significant challenge in megavoltage CT (MVCT) imaging.
Traditional filtered-back projection (FBP) techniques struggle to adequately correct for these artifacts, leading to image degradation and potential diagnostic inaccuracies.

Purpose of the Study:

To assess the efficacy of a model-based iterative image reconstruction algorithm in mitigating metal artifacts within MVCT systems.
To quantitatively and qualitatively compare the performance of this iterative method against the conventional FBP technique.

Main Methods:

The iterative maximum likelihood polychromatic algorithm for CT (IMPACT) was employed, incorporating pair/triplet production and energy-dependent detector responses.
Accurate modeling of beam spectra and detector energy-dependent gain was achieved through constrained optimization and direct measurement.
Scans were performed on a phantom with steel rods and varying density inserts using both bench-top and TomotherapyTM MVCT systems, with FBP serving as a baseline.

Main Results:

FBP reconstruction exhibited noticeable dark shading between steel rods, causing up to 8% underestimation of electron density with increasing insert density.
IMPACT reconstruction effectively removed the dark shading artifact, restoring a uniform background and yielding attenuation coefficients close to theoretical values.
The iterative algorithm demonstrated superior performance in artifact reduction compared to FBP.

Conclusions:

Iterative reconstruction algorithms like IMPACT can successfully eliminate beam hardening-induced metal artifacts in MVCT imaging.
Precise modeling of detector response and physical processes is critical for the effective implementation of such iterative algorithms.