Literature DB >> 7984077

In vivo measurement of water diffusion in the human heart.

R R Edelman1, J Gaa, V J Wedeen, E Loh, J M Hare, P Prasad, W Li.   

Abstract

Existing magnetic resonance methods for diffusion imaging, including echo planar, are ineffective in the beating heart due to motion-induced signal attenuation. To overcome this problem, we used a diffusion-weighted stimulated echo-echo planar magnetic resonance imaging sequence. The two lobes of the diffusion-sensitizing gradient were synchronized to the same point in successive cardiac cycles in order to fix the cardiac position and avoid bulk motion effects. The apparent diffusion coefficients (ADCs) of the interventricular septum in 12 healthy subjects for diffusion gradients along the x-, y-, and z-directions were 1.40 +/- 0.27, 1.48 +/- 0.35, and 1.78 +/- 0.27 x 10(-3) mm2/s. The ADCs of the interventricular septum in a second group of 15 healthy subjects for diffusion gradients along the short axis, horizontal and vertical long axes were 0.92 +/- 0.15, 1.50 +/- 0.15, and 1.10 +/- 0.24 x 10(-3) mm2/s. Because the ADCs were less than the measured values for skeletal muscle and their standard deviations were low, it seems unlikely that bulk motion effects made the dominant contribution to the measured myocardial ADC for the interventricular septum, although motion and/or susceptibility artifacts frequently degraded measurements in the free wall of the left ventricle. Additional evidence that ADC was not predominantly determined by wall motion was obtained in a third group of patients with various cardiac abnormalities, in whom there was only a weak correlation between ADC and ejection fraction.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1994        PMID: 7984077     DOI: 10.1002/mrm.1910320320

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


  47 in total

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2.  Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology.

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3.  Novel application of black-blood echo-planar imaging to the assessment of myocardial infarction.

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Review 4.  Ultra-high-speed MR imaging.

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Review 5.  Magnetic Resonance-Based Characterization of Myocardial Architecture.

Authors:  David E Sosnovik
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Review 6.  Cardiac Magnetic Resonance Quantification of Structure-Function Relationships in Heart Failure.

Authors:  Kim-Lien Nguyen; Peng Hu; J Paul Finn
Journal:  Heart Fail Clin       Date:  2020-10-28       Impact factor: 3.179

7.  In vivo study of microcirculation in canine myocardium using the IVIM method.

Authors:  Virginie Callot; Eric Bennett; Ulrich K M Decking; Robert S Balaban; Han Wen
Journal:  Magn Reson Med       Date:  2003-09       Impact factor: 4.668

8.  Parametric dependence of myocardial blood oxygen level dependent, balanced steady-state free-precession imaging at 1.5 T: theory and experiments.

Authors:  Xiangzhi Zhou; Richard Tang; Rachel Klein; Debiao Li; Rohan Dharmakumar
Journal:  Magn Reson Med       Date:  2010-02       Impact factor: 4.668

9.  High-resolution diffusion tensor MR imaging for evaluating myocardial anisotropy and fiber tracking at 3T: the effect of the number of diffusion-sensitizing gradient directions.

Authors:  Sang Il Choi; Joon-Won Kang; Eun Ju Chun; Seong Hoon Choi; Tae-Hwan Lim
Journal:  Korean J Radiol       Date:  2009-12-28       Impact factor: 3.500

Review 10.  Diffusion MR tractography of the heart.

Authors:  David E Sosnovik; Ruopeng Wang; Guangping Dai; Timothy G Reese; Van J Wedeen
Journal:  J Cardiovasc Magn Reson       Date:  2009-11-13       Impact factor: 5.364

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