Abstract #1864

PCA-aided improvements on FID-based motion tracking calibrated on resting-state EPI data without intentional motion

Rüdiger Stirnberg¹, Daniel Brenner¹, Willem Huijbers¹, Tobias Kober^2,3,4, and Tony Stöcker^1,5

¹German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, ²Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, ³Department of Radiology, University Hospital Lausanne (CHUV), Lausanne, Switzerland, ⁴Department of Electrical Engineering (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, ⁵Department of Physics and Astronomy, University of Bonn, Bonn, Germany

Accurate and precise head motion tracking has been shown to be feasible using multi-channel free-induction-decay (FID) signals, where positional information is supported by the spatial distribution of the receive coils. Until now, this required subject-specific calibration using simultaneously acquired FID signals and reference motion parameters, e.g. from an external device, while the subject performs controlled motion. In this study, we demonstrate successful calibration of FID navigators using motion parameters extracted from a resting-state fMRI scan without intentional motion. Additionally, extension of the calibration by principal component analysis of the FID data is shown to increase motion prediction accuracy and precision.

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