Literature DB >> 21702061

Myocardial first-pass perfusion: influence of spatial resolution and heart rate on the dark rim artifact.

Antonella Meloni1, Nidal Al-Saadi, Geir Torheim, Nadja Hoebel, H Glenn Reynolds, Daniele De Marchi, Vincenzo Positano, Silvia Burchielli, Massimo Lombardi.   

Abstract

Myocardial perfusion images can be affected by the dark rim artifact. This study aimed to evaluate the effects of the spatial resolution and heart rate on the transmural extent of the artifact. Six pigs under anesthesia were scanned at 1.5T using an echo-planar imaging/fast gradient echo sequence with a nonselective saturation preparation pulse. Three short-axis slices were acquired every heart beat during the first pass of a contrast agent bolus. Two different in-plane spatial resolutions (2.65 and 3.75 mm) and two different heart rates (normal and tachycardia) were used, generating a set of four perfusion scans. The percentage drop of signal in the subendocardium compared to the epicardium and the transmural extent of the artifact were extracted. Additionally, the signal-to-noise and the contrast-to-noise ratios were evaluated. The signal drop as well as the width of the dark rim artifact increased with decreased spatial resolution and with increased heart rates. No significant slice-to-slice variability was detected for signal drop and width of the rim within the four considered groups. signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) ratios decreased with increasing spatial resolution. In conclusion, low spatial and temporal resolution could be correlated with increased extent of the dark-rim artifact and with lower SNR and CNR.
Copyright © 2011 Wiley Periodicals, Inc.

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Year:  2011        PMID: 21702061     DOI: 10.1002/mrm.22969

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


  5 in total

1.  First-pass myocardial perfusion MRI with reduced subendocardial dark-rim artifact using optimized Cartesian sampling.

Authors:  Zhengwei Zhou; Xiaoming Bi; Janet Wei; Hsin-Jung Yang; Rohan Dharmakumar; Reza Arsanjani; C Noel Bairey Merz; Debiao Li; Behzad Sharif
Journal:  J Magn Reson Imaging       Date:  2016-08-17       Impact factor: 4.813

2.  Myocardial perfusion MRI with an undersampled 3D stack-of-stars sequence.

Authors:  Liyong Chen; Ganesh Adluru; Matthias C Schabel; Chris J McGann; Edward V R Dibella
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

3.  A fast and effective method of quantifying myocardial perfusion by magnetic resonance imaging.

Authors:  Giovanni Donato Aquaro; Giancarlo Todiere; Gianluca Di Bella; Letizia Guiducci; Alessandro Pingitore; Vincenzo Lionetti
Journal:  Int J Cardiovasc Imaging       Date:  2013-04-21       Impact factor: 2.357

4.  Towards elimination of the dark-rim artifact in first-pass myocardial perfusion MRI: removing Gibbs ringing effects using optimized radial imaging.

Authors:  Behzad Sharif; Rohan Dharmakumar; Troy LaBounty; Reza Arsanjani; Chrisandra Shufelt; Louise Thomson; C Noel Bairey Merz; Daniel S Berman; Debiao Li
Journal:  Magn Reson Med       Date:  2013-09-12       Impact factor: 4.668

5.  Fully quantitative pixel-wise analysis of cardiovascular magnetic resonance perfusion improves discrimination of dark rim artifact from perfusion defects associated with epicardial coronary stenosis.

Authors:  Allison D Ta; Li-Yueh Hsu; Hannah M Conn; Susanne Winkler; Anders M Greve; Sujata M Shanbhag; Marcus Y Chen; W Patricia Bandettini; Andrew E Arai
Journal:  J Cardiovasc Magn Reson       Date:  2018-03-08       Impact factor: 5.364

  5 in total

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