Literature DB >> 17633689

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

Khaled Z Abd-Elmoniem1, Matthias Stuber, Jerry L Prince.   

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.

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Mesh:

Year:  2007        PMID: 17633689     DOI: 10.1007/978-3-540-73273-0_6

Source DB:  PubMed          Journal:  Inf Process Med Imaging        ISSN: 1011-2499


  2 in total

1.  Direct three-dimensional myocardial strain tensor quantification and tracking using zHARP.

Authors:  Khaled Z Abd-Elmoniem; Matthias Stuber; Jerry L Prince
Journal:  Med Image Anal       Date:  2008-04-15       Impact factor: 8.545

2.  Quantification of Three Dimensional Tongue Motion During Speech Using zHARP.

Authors:  Xiaofeng Liu; Jiachen Zhuo; Harsh Agarwal; Khaled Z Abd-Elmoniem; Emi Murano; Maureen Stone; Rao Gullapalli; Jerry L Prince
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2009-01-01
  2 in total

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