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Abstract #4430

High-Temporal Resolution Direct Motion Parameter Estimation via Inertial Sensors

Musa Tunç Arslan1,2, Fatih Calakli1,2, and Simon K. Warfield1,2
1Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States

Synopsis

Keywords: Motion Correction, Motion Correction, Brain MRI, Sensor Fusion, Inertial Sensor, Image Reconstruction

Motivation: High temporal resolution is crucial for accurately characterizing motion to correct MR images; however, no strategy currently offers this capability.

Goal(s): Our goal was to develop a high-temporal-resolution system that directly detects the onset of motion and estimates 3 rotational parameters of a body that undergoes 6-DOF rigid motion.

Approach: We developed algorithms to detect motion and estimate rotation with a 2000 Hz inertial system, while directly estimating translation via k-space cross-correlation. MR images were corrected using 6-DOF motion parameters. Tests at 3T included phantom and volunteers.

Results: The proposed system significantly reduced motion artifacts and enhanced image quality compared to non-motion-corrected images.

Impact: We developed computationally cheap novel algorithms that utilize a low-cost wearable inertial sensor to deliver accurate motion information with very high temporal resolution without requiring modifications to the sequence.

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Keywords