Literature DB >> 10398955

Myocardial velocity gradient imaging by phase contrast MRI with application to regional function in myocardial ischemia.

A E Arai1, C C Gaither, F H Epstein, R S Balaban, S D Wolff.   

Abstract

Velocity-encoded phase contrast magnetic resonance imaging (MRI) has the potential to quantify regional myocardial contractile function with a sensitivity to motion comparable to implanted ultrasonic crystals. An MRI sequence and post-processing algorithm were developed to measure myocardial velocity gradients on a 1.5 T MRI scanner. These methods were validated on a rotating phantom and applied to dogs before (n = 11) and during prolonged coronary occlusion (n = 5). In phantom validation studies, the average absolute error corresponded to motion equivalent to 0.03 +/- 0.04 mm (mean +/- SD) during the repetition time of the experiment. Rigid body corrections during post-processing significantly simplified the interpretation of myocardial velocity vectors. In vivo, rigid body motion contributes substantially to the recorded myocardial velocities in systole and diastole and can give the false impression of regional wall motion abnormalities. After rigid body correction, normal systolic and diastolic velocity vectors in short-axis views of the left ventricle were primarily directed toward the center of the left ventricle. Transmural radial strain rate was 2.0 +/- 0.6 sec-1 during systole and -3.6 +/- 1.1 sec-1 during early diastole in normal canine hearts. Ischemic myocardium was easily discriminated from normal left ventricle by velocity-encoded phase contrast MRI both qualitatively and quantitatively (P < 0.01 in systole and P < 0.05 in early diastole). Although the myocardial velocity images have a spatial resolution on the order of a millimeter, the velocity encoding describes the mechanical consequences of focal myocardial ischemia with sensitivity to submillimeter displacement of the pixels. The three-dimensional nature of velocity-encoded MRI is particularly well suited to the study of the complex motion of the heart in vivo.

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Year:  1999        PMID: 10398955     DOI: 10.1002/(sici)1522-2594(199907)42:1<98::aid-mrm14>3.0.co;2-h

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


  15 in total

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8.  Heart deformation analysis: measuring regional myocardial velocity with MR imaging.

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Review 9.  Automated motion estimation for 2-D cine DENSE MRI.

Authors:  Andrew D Gilliam; Frederick H Epstein
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