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Abstract #4435

An in-vivo approach to quantify head motion tracking accuracy: comparison of markerless optical tracking versus fat-navigators

Zakaria Zariry1,2, Franck Lamberton3,4, Robert Frost5,6, Thomas Gaass7, Thomas Troalen8, Holly Rayson1,2, Jakob Slipsager7, Nathalie Richard1,2, James Bonaiuto1,2, Andre Van Der Kouwe5,6, and Bassem Hiba1,2
1Institut des Sciences Cognitives - Marc Jeannerod / CNRS UMR5229, Bron, France, 2Université Claude Bernard - Lyon 1, Villeurbanne, France, 3Cermep, CNRS / UAR 3453, Lyon, France, 4SFR Santé Lyon-Est, CNRS UMS3453, INSERM US7, Université Lyon 1, Lyon, France, 5Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 6Department of Radiology, Harvard Medical School, Boston, MA, United States, 7TracInnovations, Ballerup, Denmark, 8Siemens Healthcare SAS, Courbevoie, France

Synopsis

Keywords: Motion Correction, Motion Correction, Brain MRI, Anatomical MRI, Fat-navigators, Markerless optical system

Motivation: We propose an approach for evaluating the in-vivo performance of head-motion tracking techniques in MRI.

Goal(s): This approach was used to compare a markerless optical-system and a fat-navigator-based strategy (Fat-Nav).

Approach: Six participants underwent seven MP-RAGE scans, each with different predefined head positions. Optical-system and Fat-Nav estimates were then compared to a gold-standard.

Results: The results showed that the optical-system outperformed Fat-Nav in estimating large amplitude voluntary movements on its principal axes, while Fat-Nav was more accurate for small secondary head-motions. The approach also proved quite effective in detecting Fat-Nav improvement by neck-masking on fat-navigator, demonstrating its value in optimizing head-motion tracking methods.

Impact: The proposed approach enables in-vivo evaluation of head-motion tracking in MRI and, consequently, could contribute to improving motion artifact-correction for brain-MRI. Its impact will be substantial with the advent of ultra-high magnetic-field scanners and the widespread use of high-resolution brain-MRI.

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Keywords