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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

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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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A modified view ordering for artifact reduction in MRI.

Julian R Maclaren¹, Philip J Bones, R P Millane

¹Computational Imaging Group, Department of Electrical and Computer Engingeering, University of Canterbury, Christchurch, New Zealand. j.maclaren@elec.canterbury.ac.nz

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|November 16, 2007

Summary

Fast spin echo (FSE) in MRI can cause artifacts due to patient motion and T2 decay. This study investigates how the order of data acquisition impacts the severity of these common FSE imaging artifacts.

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Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

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Published on: September 8, 2021

Area of Science:

Medical Imaging
Magnetic Resonance Imaging Physics

Background:

Fast spin echo (FSE) is a rapid k-space acquisition technique in MRI.
FSE images are susceptible to artifacts from patient motion and T2 decay.
T2 decay significantly impacts image quality by reducing signal over time.

Purpose of the Study:

To evaluate the influence of data acquisition order on artifact severity in FSE MRI.
To understand how different acquisition sequences affect motion and T2 decay artifacts.
To optimize FSE imaging parameters for improved artifact reduction.

Main Methods:

Acquisition of MRI data using FSE sequences with varied k-space sampling orders.
Quantitative and qualitative assessment of image artifacts.
Analysis of the relationship between acquisition order and artifact magnitude.

Main Results:

Specific data acquisition orders were found to exacerbate or mitigate motion-related artifacts.
The impact of T2 decay on image quality varied significantly with the chosen acquisition order.
A clear correlation between sampling strategy and overall image artifact levels was observed.

Conclusions:

Data acquisition order is a critical parameter for controlling artifact severity in FSE MRI.
Optimizing acquisition order can enhance image quality by reducing motion and T2 decay effects.
This study provides insights for developing more robust FSE imaging protocols.