1CIBM-AIT, cole Polytechnique Fdrale de Lausanne and University of Lausanne, Lausanne, Switzerland; 2Advanced Clinical Imaging Technology, Siemens Healthcare IM S AW, Lausanne, Switzerland; 3CIBM-AIT, cole Polytechnique Fdrale de Lausanne, Lausanne, Switzerland; 4Department of Radiology, University Medical Center Freiburg, Freiburg, Germany; 5Laboratory for Probabilistic Machine Learning, cole Polytechnique Fdrale de Lausanne, Lausanne, Switzerland; 6Departments of Radiology, Universities of Lausanne and Geneva, Lausanne, Switzerland
This work investigates the ability of free induction decay (FID) navigators to provide information on rigid head motion. FID navigators were incorporated in a gradient-echo sequence. In parallel, optical tracking data was acquired and served as the ground truth. Three subjects were scanned at 3T with a 32-channel head coil while performing complex head movements. A linear model was trained with FID and optical tracking data and verified by cross-validation. Following the linear assumption, it can be shown that FID signal changes can quantify all six motion parameters with sub-millimeter and sub-degree precision.