Prospective head motion correction using FID-guided on-demand image navigators.

Détails

ID Serval
serval:BIB_E60445A34E87
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Prospective head motion correction using FID-guided on-demand image navigators.
Périodique
Magnetic resonance in medicine
Auteur(s)
Waszak M., Falkovskiy P., Hilbert T., Bonnier G., Maréchal B., Meuli R., Gruetter R., Kober T., Krueger G.
ISSN
1522-2594 (Electronic)
ISSN-L
0740-3194
Statut éditorial
Publié
Date de publication
07/2017
Peer-reviewed
Oui
Volume
78
Numéro
1
Pages
193-203
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
We suggest a motion correction concept that employs free-induction-decay (FID) navigator signals to continuously monitor motion and to guide the acquisition of image navigators for prospective motion correction following motion detection.
Motion causes out-of-range signal changes in FID time series that, and in this approach, initiate the acquisition of an image navigator. Co-registration of the image navigator to a reference provides rigid-body-motion parameters to facilitate prospective motion correction. Both FID and image navigator are integrated into a prototype magnetization-prepared rapid gradient-echo (MPRAGE) sequence. The performance of the method is investigated using image quality metrics and the consistency of brain volume measurements.
Ten healthy subjects were scanned (a) while performing head movements (nodding, shaking, and moving in z-direction) and (b) to assess the co-registration performance. Mean absolute errors of 0.27 ± 0.38 mm and 0.19 ± 0.24° for translation and rotation parameters were measured. Image quality was qualitatively improved after correction. Significant improvements were observed in automated image quality measures and for most quantitative brain volume computations after correction.
The presented method provides high sensitivity to detect head motion while minimizing the time invested in acquiring navigator images. Limits of this implementation arise from temporal resolution to detect motion, false-positive alarms, and registration accuracy. Magn Reson Med 78:193-203, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Mots-clé
Adult, Algorithms, Artifacts, Brain/anatomy & histology, Female, Head Movements, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Imaging, Three-Dimensional/methods, Male, Neuronavigation, Pattern Recognition, Automated/methods, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted, FID navigators, MRI, head imaging, image navigators, motion detection, prospective motion correction
Pubmed
Web of science
Création de la notice
23/08/2016 13:50
Dernière modification de la notice
20/08/2019 16:09
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