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Abstract #2060

MoCoPad: A new soft sensor system for fast head motion detection and tracking in MRI

Saikat Sengupta1,2, Mishek Musa3, and Yue Chen4
1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States, 2Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR, United States, 4Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States


In this abstract we present initial feasibility results of a novel pneumatic sensor-based head motion detection and tracking system for MRI. The system comprises of head pad with a built in matrix of air pressure sensors, which replaces the standard head pad in an MRI scan and allows fast sequence agnostic tracking of head motions without the need for navigators, head markers or camera systems. Here, we show initial results for motion detection and head pose estimation in phantom studies using a motion model trained outside the scanner.

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