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

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

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

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

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.

Multi-slice three-dimensional myocardial strain tensor quantification using zHARP. Publishing Authors By Initials

KZ Abd-Elmoniem,M Stuber,JL Prince,

For similar information science: computing methodologies: software: user-computer interface research abstracts see: information science: computing methodologies: software: user-computer interface research

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

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Information processing in medical imaging : procee

VOLUME: 20

Page Numbers: 62-73

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ISSN: 1011-2499

DAY: 3

MONTH: 12

YEAR: 2007

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

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LANGUAGE: eng

NlmUniqueID: 9216871

Multi-slice three-dimensional myocardial strain tensor quantification using zHARP. Keywords Mesh Terms:

KEYWORDS: User-Computer Interface

MESH TERMS: methods

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Grant and Affiliation Information for Multi-slice three-dimensional myocardial strain tensor quantification using zHARP.

AFFILIATION: Electrical and Computer Engineering department, Johns Hopkins University, Baltimore MD 21218, USA. khaled@jhu.edu

Country: Germany

AGENCY: United States NHLBI

GRANT: R01HL47405

ACRONYM: HL

MEDLINETA: Inf Process Med Imaging

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