Literature DB >> 10472526

Kinematic analysis of left ventricular deformation in myocardial infarction using magnetic resonance cardiac tagging.

F W Aelen1, T Arts, D G Sanders, G R Thelissen, F W Prinzen, R S Reneman.   

Abstract

The Magnetic Resonance (MR) tagging technique provides detailed information about 2D motion in the plane of observation. Interpretation of this information as a reflection of the 3D motion of the entire cardiac wall is a major problem. In finite element models of the mechanics of the infarcted heart, an infarcted region causes motional asymmetry, extending far beyond the infarct boundary. Here we present a method to quantify such asymmetry in amplitude and orientation. For this purpose images of a short-axis cross-section of the ejecting left ventricle were acquired from 9 healthy volunteers and 5 patients with myocardial infarction. MR-tags were applied in a 5 mm grid at end-diastole. The tags were tracked by video-image analysis. Tag motion was fitted to a kinematic model of cardiac motion. For the volunteers and the patients the center of the cavity displaced by about the same amount (p = 0.11) during the ejection phase: 3.8 +/- 1.4 and 3.0 +/- 0.9 mm (mean +/- sd), respectively. Cross-sectional rotation and the decrease in cross-sectional area of the cavity were both greater in the volunteers than in the patients: 6.4 +/- 1.5 vs. 3.0 +/- 0.8 degrees (p < 0.001), and 945 +/- 71 vs. 700 +/- 176 mm2 (p = 0.02), respectively. In the patients, asymmetry of wall motion, as expressed by a sine wave dependency of contraction around the circumference, was significantly enlarged (p = 0.02). The proposed method of kinematic analysis can be used to assess cardiac deformation in humans. We expect that by analyzing images of more cross-sections simultaneously, the 3D location and the degree of infarction can be assessed efficiently.

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Year:  1999        PMID: 10472526     DOI: 10.1023/a:1006089820107

Source DB:  PubMed          Journal:  Int J Card Imaging        ISSN: 0167-9899


  27 in total

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Authors:  T Arts; W C Hunter; A Douglas; A M Muijtjens; R S Reneman
Journal:  J Biomech       Date:  1992-10       Impact factor: 2.712

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Journal:  Circulation       Date:  1991-07       Impact factor: 29.690

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Authors:  S Kumar; D Goldgof
Journal:  IEEE Trans Med Imaging       Date:  1994       Impact factor: 10.048

Review 4.  MRI of myocardial function: motion tracking techniques.

Authors:  E R McVeigh
Journal:  Magn Reson Imaging       Date:  1996       Impact factor: 2.546

5.  MR imaging of motion with spatial modulation of magnetization.

Authors:  L Axel; L Dougherty
Journal:  Radiology       Date:  1989-06       Impact factor: 11.105

6.  Multi-shot EPI for improvement of myocardial tag contrast: comparison with segmented SPGR.

Authors:  C Tang; E R McVeigh; E A Zerhouni
Journal:  Magn Reson Med       Date:  1995-03       Impact factor: 4.668

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Authors:  A A Young; H Imai; C N Chang; L Axel
Journal:  Circulation       Date:  1994-02       Impact factor: 29.690

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Authors:  S E Fischer; G C McKinnon; S E Maier; P Boesiger
Journal:  Magn Reson Med       Date:  1993-08       Impact factor: 4.668

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Authors:  A A Young; C M Kramer; V A Ferrari; L Axel; N Reichek
Journal:  Circulation       Date:  1994-08       Impact factor: 29.690

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Journal:  Circulation       Date:  1991-08       Impact factor: 29.690

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  3 in total

1.  Cine and tagged magnetic resonance imaging in short-term stunned versus necrotic myocardium.

Authors:  Kai Uwe Juergens; Peter Reimer; Thomas Peter Weber; Bernd Tombach; Christoph Bremer; Bernhard Renger; Hugo Van Aken; Walter Heindel
Journal:  Int J Cardiovasc Imaging       Date:  2005 Apr-Jun       Impact factor: 2.357

2.  An ultrasound-driven kinematic model for deformation of the infarcted mouse left ventricle incorporating a near-incompressibility constraint.

Authors:  Dan Lin; Brent A French; Yaqin Xu; John A Hossack; Jeffrey W Holmes
Journal:  Ultrasound Med Biol       Date:  2014-12-23       Impact factor: 2.998

3.  Utilizing FEM-Software to quantify pre- and post-interventional cardiac reconstruction data based on modelling data sets from surgical ventricular repair therapy (SVRT) and cardiac resynchronisation therapy (CRT).

Authors:  Janko F Verhey; Nadia S Nathan
Journal:  Biomed Eng Online       Date:  2006-10-31       Impact factor: 2.819

  3 in total

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