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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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Updated: Jul 10, 2025

Simultaneous fMRI and Electrophysiology in the Rodent Brain

Simultaneous fMRI and Electrophysiology in the Rodent Brain

Published on: August 19, 2010

Sophisticated Study of Time, Frequency and Statistical Analysis for Gradient-Switching-Induced Potentials during MRI.

Karim Bouzrara^1,2, Odette Fokapu^3,4, Ahmed Fakhfakh^1,5

¹Laboratory of Signals, Systems, Artificial Intelligence and Networks, Technopark of Sfax, Sakiet Ezzit, Sfax 3021, Tunisia.

Bioengineering (Basel, Switzerland)

|November 25, 2023

Summary

Magnetic resonance imaging (MRI) gradient switching creates voltage artifacts that interfere with electrophysiological signals (EPs). Understanding these MRI artifacts is key to developing digital tools for cleaner EPs.

Keywords:

KPSS test MRI biomedical engineering image and signal processing induced potentials medical image analysis and medical decision-making stationarity test surrogates time and frequency analysis

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Last Updated: Jul 10, 2025

Simultaneous fMRI and Electrophysiology in the Rodent Brain

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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

Published on: May 25, 2019

Area of Science:

Biomedical Engineering
Medical Imaging Physics

Background:

Magnetic resonance imaging (MRI) is a non-ionizing medical imaging technique that produces high-resolution images.
Electrophysiological signals (EPs) are susceptible to interference from induced voltages generated by MRI's magnetic field gradients.
High-bandwidth amplifiers (>150 Hz) struggle to eliminate these induced voltages, impacting signal quality.

Purpose of the Study:

To investigate the characteristics of induced voltages generated during MRI acquisition.
To analyze the behavior of these artifacts to inform the development of signal processing tools.
To assess the stationarity of induced potentials at different analysis scales.

Main Methods:

In vitro study of induced voltages using a 350 Hz bandwidth device on a 1.5T MRI scanner.
Utilized two MRI sequences (fast spin echo and cine gradient echo) and three slice orientations.
Analyzed recorded voltages using global and local approaches, including stationarity tests (KPSS) and time-frequency analysis.

Main Results:

Induced voltage characteristics (temporal, frequency) were specific to MRI sequences and slice orientations.
Significant variability was observed within recordings, despite the pseudo-periodic nature of artifacts.
Induced potentials were stationary globally but non-stationary locally, especially within the 0-500 Hz bandwidth.

Conclusions:

The non-stationarity of MRI-induced artifacts at a local scale presents challenges for designing effective filters.
Understanding artifact behavior is crucial for developing advanced digital processing to reduce interference in EPs.
This research contributes to improving the quality of electrophysiological data acquired concurrently with MRI.