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Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Related Experiment Video

Updated: Jul 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

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

MRI of Total Hip Arthroplasty: Successful Ripple Artifact Reduction Using Wavelet Domain Filtering.

Jeanette C Deck^1,2,3, Sophia S Goller^1,2, Georg W Kajdi^1,2

¹Department of Radiology, Balgrist University Hospital, Zurich, Switzerland.

Journal of Magnetic Resonance Imaging : JMRI

|July 11, 2026

Summary

A wavelet domain filter (WD-Filter) effectively reduced ripple artifacts in MRI scans of total hip arthroplasty patients. This technique significantly improved image quality, aiding in better diagnostic accuracy for regions near the implant.

Keywords:

artifact reduction magnetic resonance imaging metal artifact multispectral imaging total hip arthroplasty

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Last Updated: Jul 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

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Published on: May 17, 2018

The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report

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Published on: August 4, 2022

Area of Science:

Medical Imaging
Radiology
Signal Processing

Background:

Slice encoding for metal artifact correction (SEMAC) is crucial for MRI in total hip arthroplasty.
Ripple artifacts near the implant can hinder diagnostic interpretation in SEMAC images.

Purpose of the Study:

To evaluate the efficacy of a wavelet domain filter (WD-Filter) in reducing ripple artifacts.
To assess the impact of WD-Filter on overall image quality in hip arthroplasty MRI.

Main Methods:

Retrospective analysis of 100 patients with total hip arthroplasty undergoing MRI with compressed sensing SEMAC.
Application of a WD-Filter to reduce ripple artifacts and subsequent assessment of artifact intensity and image quality using Likert scales.
Quantitative analysis of signal intensity standard deviation reduction (ΔSD_ROI) in regions of interest.

Main Results:

The WD-Filter significantly reduced severe and moderate ripple artifacts, with a large effect size (r > 0.89).
Image quality ratings (Likert-IQ) improved substantially after filtering, from 1.4 ± 0.5 to 3.4 ± 0.6.
A significant reduction in ΔSD_ROI by 19% ± 10% was observed in filtered images compared to unfiltered images.

Conclusions:

The WD-Filter is an effective tool for mitigating ripple artifacts in total hip arthroplasty MRI.
WD-Filter application leads to significant improvements in diagnostic image quality, enhancing clinical utility.