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MR imaging artifacts that simulate disease: how to recognize and eliminate them
L Arena1, H T Morehouse, J Safir
1Department of Radiology, New York University, NY, USA.
Summary
Understanding magnetic resonance (MR) imaging artifacts is crucial for accurate diagnosis. This guide details common artifacts like motion, aliasing, truncation, chemical shift, and magnetic susceptibility, along with their causes and mitigation strategies.
Area of Science:
- Medical Imaging
- Radiology
- Magnetic Resonance Imaging (MRI)
Background:
- Image artifacts can mimic pathological conditions in magnetic resonance (MR) imaging.
- Motion artifacts frequently impact thoracic and abdominal MR images.
- Familiarity with artifact causes is essential for accurate MR image interpretation.
Purpose of the Study:
- To elucidate common artifacts encountered in magnetic resonance (MR) imaging.
- To describe the underlying causes and characteristics of various MR imaging artifacts.
- To outline strategies for mitigating or eliminating these artifacts to improve diagnostic accuracy.
Main Methods:
- Review of common magnetic resonance (MR) imaging artifacts, including motion, aliasing, truncation, chemical shift, and magnetic susceptibility.
- Description of techniques for artifact reduction, such as gating, k-space manipulation, field of view adjustment, and specific pulse sequences.
- Explanation of factors influencing artifact severity, including imaging parameters and hardware configurations.
Main Results:
- Motion artifacts can be reduced using techniques like respiratory/cardiac gating and gradient moment nulling.
- Aliasing artifacts are addressed by adjusting the field of view, oversampling, or employing saturation pulses.
- Truncation, chemical shift, and magnetic susceptibility artifacts have distinct causes and mitigation approaches.
Conclusions:
- Recognizing and understanding the origins of common MR imaging artifacts is vital for accurate interpretation.
- Implementing appropriate artifact reduction techniques enhances the diagnostic quality of MR images.
- Knowledge of artifact appearances aids in avoiding diagnostic pitfalls in clinical practice.