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Motion artifact in magnetic resonance imaging: implications for automated analysis
Jonathan D Blumenthal1, Alex Zijdenbos, Elizabeth Molloy
1Child Psychiatry Branch, NIMH, NIH, Bethesda, Maryland, 20892-1367, USA.
Neuroimage
|April 24, 2002
Summary
Automated brain MRI analysis is fast but sensitive to motion. This study found that increased motion artifact in MRI scans correlated with reduced gray matter volumes, highlighting its importance for accurate results.
Area of Science:
- Neuroimaging
- Radiology
- Medical image analysis
Background:
- Automated cerebral magnetic resonance imaging (MRI) analysis offers speed and reliability over manual methods.
- However, automated techniques can be highly susceptible to motion artifacts, potentially compromising data integrity.
Purpose of the Study:
- To investigate the impact of motion artifact severity on automated quantification of regional gray matter volume in cerebral MRI.
- To assess the relationship between motion artifact ratings and gray matter volume measurements.
Main Methods:
- Utilized an automated MRI analysis program to quantify regional gray matter volumes.
- Developed a visual rating scale (none, mild, moderate, severe) to assess motion artifact in each MRI scan.
- Correlated motion artifact severity with quantified gray matter volumes.
Main Results:
- A significant association was observed between greater motion artifact and smaller quantified gray matter volumes.
- The severity of motion artifact directly influenced the accuracy of automated gray matter volume measurements.
Conclusions:
- Motion artifact is a critical factor influencing the reliability of automated MRI measures of gray matter volume.
- Careful consideration and assessment of motion artifact are essential for accurate interpretation of automated neuroimaging studies.