Multi-slice three-dimensional myocardial strain tensor quantification using zHARP.

Détails

ID Serval
serval:BIB_FAFFFD8E4BBD
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Multi-slice three-dimensional myocardial strain tensor quantification using zHARP.
Périodique
Information Processing In Medical Imaging
Auteur(s)
Abd-Elmoniem K.Z., Stuber M., Prince J.L.
ISSN
1011-2499[print], 1011-2499[linking]
Statut éditorial
Publié
Date de publication
2007
Volume
20
Pages
62-73
Langue
anglais
Notes
Publication types: Evaluation Studies ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
In this article we propose a novel method for calculating cardiac 3-D strain. The method requires the acquisition of myocardial short-axis (SA) slices only and produces the 3-D strain tensor at every point within every pair of slices. Three-dimensional displacement is calculated from SA slices using zHARP which is then used for calculating the local displacement gradient and thus the local strain tensor. There are three main advantages of this method. First, the 3-D strain tensor is calculated for every pixel without interpolation; this is unprecedented in cardiac MR imaging. Second, this method is fast, in part because there is no need to acquire long-axis (LA) slices. Third, the method is accurate because the 3-D displacement components are acquired simultaneously and therefore reduces motion artifacts without the need for registration. This article presents the theory of computing 3-D strain from two slices using zHARP, the imaging protocol, and both phantom and in-vivo validation.
Mots-clé
Algorithms, Artificial Intelligence, Cluster Analysis, Computer Graphics, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Imaging, Three-Dimensional/methods, Magnetic Resonance Imaging/instrumentation, Magnetic Resonance Imaging/methods, Numerical Analysis, Computer-Assisted, Phantoms, Imaging, Reproducibility of Results, Sensitivity and Specificity, Signal Processing, Computer-Assisted, User-Computer Interface
Pubmed
Création de la notice
02/03/2010 16:04
Dernière modification de la notice
20/08/2019 16:26
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