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Head motion detection using FID navigators
Author(s) -
Kober Tobias,
Marques José P.,
Gruetter Rolf,
Krueger Gunnar
Publication year - 2011
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.22797
Subject(s) - signal (programming language) , free induction decay , artificial intelligence , motion (physics) , computer science , imaging phantom , computer vision , sensitivity (control systems) , motion detection , contrast (vision) , electromagnetic coil , measure (data warehouse) , nuclear magnetic resonance , pattern recognition (psychology) , physics , magnetic resonance imaging , optics , electronic engineering , medicine , engineering , data mining , radiology , spin echo , quantum mechanics , programming language
This work explores a concept for motion detection in brain MR examinations using high channel‐count RF coil arrays. It applies ultrashort (<100 μsec) free induction decay signals, making use of the knowledge that motion induces variations in these signals when compared to a reference free induction decay signal. As a proof‐of‐concept, the method was implemented in a standard structural MRI sequence. The stability of the free induction decay‐signal was verified in phantom experiments. Human experiments demonstrated that the observed variations in the navigator data provide a sensitive measure for detection of relevant and common subject motion patterns. The proposed methodology provides a means to monitor subject motion throughout a MRI scan while causing little or no impact on the sequence timing and image contrast. It could hence complement available motion detection and correction methods, thus further reducing motion sensitivity in MR applications. Magn Reson Med, 2011. © 2011 Wiley‐Liss, Inc.