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

Details

Serval ID
serval:BIB_FAFFFD8E4BBD
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Multi-slice three-dimensional myocardial strain tensor quantification using zHARP.
Journal
Information Processing In Medical Imaging
Author(s)
Abd-Elmoniem K.Z., Stuber M., Prince J.L.
ISSN
1011-2499[print], 1011-2499[linking]
Publication state
Published
Issued date
2007
Volume
20
Pages
62-73
Language
english
Notes
Publication types: Evaluation Studies ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
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.
Keywords
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
Create date
02/03/2010 16:04
Last modification date
20/08/2019 16:26
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