Meeting Banner
Abstract #0306

Can Multi-Channel FID Navigators Quantify Head Motion?

Maryna Babayeva1, 2, Tobias Kober2, 3, Michael Herbst4, Jrgen Hennig4, Matthias Seeger5, Rolf Gruetter3, 6, Maxim Zaitsev4, Gunnar Krueger2, 3

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.

Keywords

accumulative accuracy acquisition advanced allowing always array artifacts assumption block body bore bottom brain calibration camera channel clinical coded coefficients coil colors commercial compensation complement complex compute computing coupling cross customized decay decode decoded degree degrees detect detected detection deviation dimensions drawing duration employing encoded error errors evaluated every exploring external feasibility fluctuations fold foundations free gold gradient green hardware head healthy identity indicated induction instructed laboratory learning limits linear linearly machine magnitude mark marker materials maxim medical millimeter minor minutes model modified motion mouth move movements navigator navigators nodding nose optical overall parts patterns periods physiological piece placed plot position possibly potential predict predicting prediction predicts probabilistic procedure proportion quantify radiology reasons regression relate remaining rigid rotational scanned scanner selective series sets shake simplified spatially strategies subject subjects subsequently supported system technology tenth third together tracking trained training translation translational trio twice universities validate validated validation various versus virtual volunteers