Head motion detection using FID navigators
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 inducti...
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Published in | Magnetic resonance in medicine Vol. 66; no. 1; pp. 135 - 143 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.07.2011
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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Bibliography: | University of Geneva (UniGe) Centre d'Imagerie BioMédicale (CIBM) of the University of Lausanne (UNIL) Centre Hospitalier Universitaire Vaudois (CHUV) ark:/67375/WNG-75GFR6SH-D Swiss Federal Institute of Technology Lausanne (EPFL) Leenaards and the Jeantet Foundations Hôpitaux Universitaires de Genève (HUG) istex:DB8565795F35DE8CD4A57ECCF306F77CE46F7654 ArticleID:MRM22797 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0740-3194 1522-2594 1522-2594 |
DOI: | 10.1002/mrm.22797 |