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Abstract #0497

Improved Pose Detection for Single Camera Real-Time MR Motion Correction Using a Self-Encoded Marker

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

A new self-encoded marker for optical pose estimation has been developed. It was designed to cover a wider range of motion and allows to be combined with cameras with a smaller aperture. In this study, we measured accuracy and precision of this novel self-encoded marker on a precision pan-tilt unit and compared the results against similar measurements performed with a standard checkerboard marker. Comparative evaluations between the new self-encoded marker and the checkerboard marker were also performed in vivo and demonstrated superiority of the new marker approach.