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Multi-slice Three-Dimensional Myocardial Strain Tensor Quantification Using zHARP

  • Khaled Z. Abd-Elmoniem
  • Matthias Stuber
  • Jerry L. Prince
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4584)

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

Strain Tensor Material Point Strain Tensor Component Harmonic Phase Single Image Plane 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Khaled Z. Abd-Elmoniem
    • 1
  • Matthias Stuber
    • 1
    • 2
  • Jerry L. Prince
    • 1
    • 2
  1. 1.Electrical and Computer Engineering department, Johns Hopkins University, Baltimore MD 21218USA
  2. 2.Department of Radiology and Radiological Sciences, School of Medicine, Johns Hopkins School of Medicine, Baltimore, MD 21287USA

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