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Abstract #5025

Self-Encoded Marker Design for Adaptive Optical Real-Time Motion Correction

Christoph Forman1, Murat Aksoy2, Matus Straka2, Joachim Hornegger1, Roland Bammer2

1Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany; 2Department of Radiology, Stanford University, Stanford, CA, United States

Patient motionis one of the unsolved problems in MRI. In this study, we propose a novel large field of view marker design to be used with a monovision based system to correct for rigid head motion. The proposed marker design has gives better accuracy and can correct for larger patient head motion.