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The rf coil as a sensitive motion detector for magnetic resonance imaging
D Buikman1, T Helzel, P Röschmann
1Philips GmbH Forschungslaboratorium Hamburg, FRG.
Magnetic Resonance Imaging
|May 1, 1988
Summary
A novel sensor principle using radiofrequency (RF) coils detects patient movement during magnetic resonance imaging (MRI). This method effectively reduces motion artifacts, improving image quality in MRI scans.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Physics
Background:
- Patient motion is a significant source of artifacts in Magnetic Resonance Imaging (MRI).
- Reducing motion artifacts is crucial for accurate diagnosis and effective treatment planning.
- Existing motion correction techniques can be complex or require additional hardware.
Purpose of the Study:
- To introduce and validate a new sensor principle for detecting patient movement within an MRI scanner.
- To demonstrate the application of this principle for reducing motion artifacts in MRI.
- To utilize existing MRI hardware, specifically the RF coil, for motion detection.
Main Methods:
- The study employed a novel sensor principle based on measuring changes in RF impedance match within the RF coil.
- Variations in reflected RF power were monitored, correlating with patient movement.
- Respiratory and cardiac motion detection principles were described and experimentally validated.
- Data from various RF coil arrangements were analyzed.
- Images were acquired using respiratory gating derived from the RF body coil of a 2 Tesla whole-body MRI system.
Main Results:
- The new sensor principle successfully detected patient movement, including respiratory and cardiac motion.
- Changes in RF impedance match directly correlated with patient displacement within the RF coil.
- Experimental results demonstrated the feasibility of using the RF coil as a motion sensor.
- Acquired MRI images showed effective artifact reduction when using the derived respiratory gating.
Conclusions:
- The RF coil can serve as an integrated sensor for detecting patient motion in MRI systems.
- This approach offers a simple and hardware-efficient method for reducing motion artifacts.
- The validated principle holds promise for improving the quality and reliability of MRI examinations.