Literature DB >> 15065247

Complementary displacement-encoded MRI for contrast-enhanced infarct detection and quantification of myocardial function in mice.

Wesley D Gilson1, Zequan Yang, Brent A French, Frederick H Epstein.   

Abstract

MRI is emerging as an important modality for assessing myocardial function in transgenic and knockout mouse models of cardiovascular disease, including myocardial infarction (MI). Displacement encoding with stimulated echoes (DENSE) measures myocardial motion at high spatial resolution using phase-reconstructed images. The current DENSE technique uses inversion recovery (IR) to suppress T(1)-relaxation artifacts; however, IR is ill-suited for contrast-enhanced infarct imaging in the heart, where multiple T(1) values are observed. We have developed a modified DENSE method employing complementary acquisitions for T(1)-independent artifact suppression. With this technique, displacement and strain are measured in phase-reconstructed images, and contrast-enhanced regions of infarction are depicted in perfectly coregistered magnitude-reconstructed images. The displacement measurements and T(1)-weighted image contrast were validated with the use of a rotating phantom. Modified DENSE was performed in mice (N = 9) before and after MI. Circumferential (E(cc)) and radial (E(rr)) strain were measured, and contrast-enhanced infarcted myocardium was detected by DENSE. At baseline, E(cc) was -0.16 +/- 0.01 and E(rr) was 0.39 +/- 0.07. After MI, E(cc) was 0.04 +/- 0.02 and E(rr) was 0.03 +/- 0.04 in infarcted regions, whereas E(cc) was -0.12 +/- 0.02 and E(rr) was 0.38 +/- 0.09 in noninfarcted regions. In vivo E(cc) as determined by DENSE correlated well with E(cc) obtained by conventional tag analysis (R = 0.90). Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15065247     DOI: 10.1002/mrm.20003

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


  25 in total

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6.  Balanced multipoint displacement encoding for DENSE MRI.

Authors:  Xiaodong Zhong; Patrick A Helm; Frederick H Epstein
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Review 7.  Myocardial tagging by cardiovascular magnetic resonance: evolution of techniques--pulse sequences, analysis algorithms, and applications.

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Review 8.  Quantification of regional myocardial wall motion by cardiovascular magnetic resonance.

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9.  Identification of different heart tissues from MRI C-SENC images using an unsupervised multi-stage fuzzy clustering technique.

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10.  A new methodology for multiscale myocardial deformation and strain analysis based on tagging MRI.

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