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

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

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)62-73
Number of pages12
JournalInformation processing in medical imaging : proceedings of the ... conference
StatePublished - 2007

ASJC Scopus subject areas

  • Medicine(all)


Dive into the research topics of 'Multi-slice three-dimensional myocardial strain tensor quantification using zHARP.'. Together they form a unique fingerprint.

Cite this