Automatic motion correction of Musculoskeletal MRI using DSLR camera

Area of Science:

• Medical Imaging
• Biomedical Engineering
• Image Processing

Background:

• Motion artifacts are a significant challenge in Musculoskeletal (MSK) Magnetic Resonance Imaging (MRI), degrading image quality and diagnostic accuracy.
• Existing motion correction techniques may require subject-worn sensors or complex implementations.
• Accurate motion detection and correction are crucial for reliable MSK MRI analysis.

Purpose of the Study:

• To develop and validate an external optical tracking system for motion correction in MSK MRI.
• To assess the effectiveness of the proposed method in reducing motion-induced artifacts and improving image quality.
• To demonstrate a practical approach for motion correction that does not require patient-worn sensors.

Main Methods:

• An optical tracker, specifically a Digital Single Lens Reflexive camera, was used with a checkerboard marker placed on the RF coil to capture motion.
• Calibration experiments on an in vitro phantom established the relationship between object movement and pixel shifts.
• Motion correction was achieved by reducing image gradient entropy based on calibration curves, and results were analyzed through data fusion and quantitative error metrics.

Main Results:

• The developed method demonstrated a reduction in Normalized Root Mean Squared Error by approximately 20% compared to motion-corrupted data.
• Qualitative analysis showed improved edge delineation and reduced ghosting in motion-corrected MSK MRI images.
• The system effectively utilized external motion tracking data for accurate image correction.

Conclusions:

• External optical tracking provides an effective solution for motion correction in MSK MRI.
• The proposed method enhances image quality by reducing artifacts and improving diagnostic clarity.
• This technique is readily implementable on clinical scanners and offers a non-invasive approach to motion correction.