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Related Experiment Video

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

Slice encoding for metal artifact correction with noise reduction.

Wenmiao Lu1, Kim B Pauly, Garry E Gold

  • 1School of Electrical and Electronic Engineering, Division of Information Engineering, Nanyang Technological University, Singapore. wenmiao.lu@gmail.com

Magnetic Resonance in Medicine
|February 3, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to reduce noise in MRI scans near metal implants. The technique improves image quality by enhancing signal-to-noise ratio without affecting artifact correction.

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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
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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Radiology

Background:

  • Metal artifacts severely degrade Magnetic Resonance Imaging (MRI) quality near metallic implants.
  • Slice Encoding for Metal Artifact Correction (SEMAC) reduces these artifacts but can result in low signal-to-noise ratio (SNR) images.

Purpose of the Study:

  • To develop a novel reconstruction procedure to improve the SNR of SEMAC-corrected MRI images.
  • To enable the routine clinical use of SEMAC by enhancing image quality.

Main Methods:

  • A singular value decomposition (SVD) denoising step was applied to suppress noise in multi-coil SEMAC-encoded slices.
  • SVD-denoised data were selectively incorporated into the correction of through-plane distortions.

Main Results:

  • The proposed reconstruction procedure significantly improved the SNR of SEMAC-corrected images.
  • Image quality enhancement was achieved without compromising the effectiveness of metal artifact correction.

Conclusions:

  • The novel reconstruction method effectively reduces noise in SEMAC-corrected MRI scans.
  • This advancement is crucial for the clinical applicability of SEMAC in imaging patients with metallic implants.