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Abstract #4245

Prospective Motion Correction in Brain Imaging Using a Passive Magnetic Sensor

Mahamadou Diakite1, Steve Roys2, Taehoon Shin2, Jiachen Zhuo2, Jaydev P. Desai3, and Rao P. Gullapalli2

1Radiology, Center for Metabolic Imaging and Therapeutics, University of Maryland, School of Medicine, Parkville, MD, United States, 2Radiology, Center for Metabolic Imaging and Therapeutics, University of Maryland, School of Medicine, Baltimore, MD, United States, 3Department of Mechanical Engineering, University of Maryland, College Park, Maryland, United States, Baltimore, MD, United States

We present a prospective motion correction (PMC) technique using a miniature passive magnetic sensor. The motion sensor can virtually work with any imaging technique that is sensitive to motion. Especially techniques such as fMRI, DTI and spectroscopy sequences are likely to benefit greatly when dealing with non-cooperative subjects.

In this study, the GRE sequence was initially modified by adding three bipolar gradients along the read, phase, and slice-selection directions respectively. The bipolar gradients were used to trigger the position and orientation tracking sensor. A dynamic feedback loop mechanism was implemented into the sequence to receive the sensor position and orientation for real-time update of the imaging slice using an in-house developed application.

We demonstrate that our PMC method in brain imaging using a passive magnetic sensor is capable of tracking the patient head motion with high accuracy.

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