Literature DB >> 1435210

Magnetic resonance imaging of myocardial kinematics. Technique to detect, localize, and quantify the strain rates of the active human myocardium.

V J Wedeen1.   

Abstract

A magnetic resonance imaging (MRI) method is presented to detect, localize, and quantify myocardial kinematics by measuring the material rate-of-strain tensor at each pixel in gated NMR images of the heart. The immediate, local effect of muscular activity is self-deformation, and the strain tensor is the basic mathematical device by which such deformation may be quantified. The present method, called "strain-phase" MRI (SP-MRI), entails four steps: (1) the velocity of the myocardium is encoded by means of a set of motion-sensitive NMR image acquisitions, one image per velocity component; (2) the spatial derivatives of the velocity are computed at each pixel; (3) the velocity-derivative data are combined to compute an approximation of the strain-rate tensor of the myocardium at each pixel; and (4) the strain-rate tensor data are simplified to produce a color-coded functional image which represents strain-rate components which are of particular biomedical interest in the myocardium. We present a quantitative SP-MRI methodology suited to conventional MRI, and in addition present an "echo-planar" methodology, able to produce qualitative functional images of myocardial kinematics at almost real-time speeds. Two-dimensional strain-phase MRI data acquired in normal human subjects are presented. These data demonstrate the practicability of SP-MRI in vivo, that SP-MRI resolves myocardial kinematics at the single-pixel scale, having resolution comparable to that of conventional MRI, and that SP-MRI data may have a signal-to-noise ratio up to 50% as great as that of the conventional MRI data from which they are produced. SP-MRI measurements of the local instantaneous strain rates in the human left ventricular myocardium are quantitatively consistent with known transmural average values of myocardial strain.

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Year:  1992        PMID: 1435210     DOI: 10.1002/mrm.1910270107

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  11 in total

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Authors:  Peter D Gatehouse; Jennifer Keegan; Lindsey A Crowe; Sharmeen Masood; Raad H Mohiaddin; Karl-Friedrich Kreitner; David N Firmin
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3.  Estimating Motion From MRI Data.

Authors:  Cengizhan Ozturk; J Andrew Derbyshire; Elliot R McVeigh
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4.  Simultaneous imaging of myocardial motion and chamber blood flow with SPAMM n' EGGS (Spatial Modulation of Magnetization With Encoded Gradients for Gauging Speed).

Authors:  Smita Sampath; June H Kim; Robert J Lederman; Elliot R McVeigh
Journal:  J Magn Reson Imaging       Date:  2008-04       Impact factor: 4.813

5.  The effect of high performance gradients on fast gradient echo imaging.

Authors:  S B Reeder; E R McVeigh
Journal:  Magn Reson Med       Date:  1994-11       Impact factor: 4.668

6.  3-D phantom and in vivo cardiac speckle tracking using a matrix array and raw echo data.

Authors:  Brett Byram; Greg Holley; Doug Giannantonio; Gregg Trahey
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2010-04       Impact factor: 2.725

7.  Preliminary validation of angle-independent myocardial elastography using MR tagging in a clinical setting.

Authors:  Wei-Ning Lee; Zhen Qian; Christina L Tosti; Truman R Brown; Dimitris N Metaxas; Elisa E Konofagou
Journal:  Ultrasound Med Biol       Date:  2008-10-26       Impact factor: 2.998

8.  Numerical and in vivo validation of fast cine displacement-encoded with stimulated echoes (DENSE) MRI for quantification of regional cardiac function.

Authors:  Li Feng; Robert Donnino; James Babb; Leon Axel; Daniel Kim
Journal:  Magn Reson Med       Date:  2009-09       Impact factor: 4.668

9.  Longitudinal strain from velocity encoded cardiovascular magnetic resonance: a validation study.

Authors:  Einar Heiberg; Ulrika Pahlm-Webb; Shruti Agarwal; Erik Bergvall; Helen Fransson; Katarina Steding-Ehrenborg; Marcus Carlsson; Håkan Arheden
Journal:  J Cardiovasc Magn Reson       Date:  2013-01-23       Impact factor: 5.364

Review 10.  Imaging techniques in cardiac resynchronization therapy.

Authors:  Maria Isabel Sá; Albert de Roos; Jos J M Westenberg; Lucia J M Kroft
Journal:  Int J Cardiovasc Imaging       Date:  2007-05-15       Impact factor: 2.357

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