Literature DB >> 19520349

Quantification of absolute myocardial blood flow by magnetic resonance perfusion imaging.

Daniel C Lee1, Nils P Johnson.   

Abstract

By serially imaging the myocardium during the initial transit of gadolinium contrast, magnetic resonance perfusion imaging can accurately assess relative reductions in regional myocardial blood flow and identify hemodynamically significant coronary artery disease. Models can be used to quantify myocardial blood flow (in milliliters/minute/gram) on the basis of dynamic signal changes within the myocardium and left ventricular cavity. Although the mathematical modeling involved in this type of analysis adds complexity, the benefits of absolute blood flow quantification might improve clinical diagnosis and have important implications for cardiovascular research.

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Year:  2009        PMID: 19520349     DOI: 10.1016/j.jcmg.2009.04.003

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  32 in total

Review 1.  Assessment of coronary blood flow with computed tomography and magnetic resonance imaging.

Authors:  Karl H Schuleri; Richard T George; Albert C Lardo
Journal:  J Nucl Cardiol       Date:  2010-08       Impact factor: 5.952

Review 2.  Clinical use of quantitative cardiac perfusion PET: rationale, modalities and possible indications. Position paper of the Cardiovascular Committee of the European Association of Nuclear Medicine (EANM).

Authors:  Roberto Sciagrà; Alessandro Passeri; Jan Bucerius; Hein J Verberne; Riemer H J A Slart; Oliver Lindner; Alessia Gimelli; Fabien Hyafil; Denis Agostini; Christopher Übleis; Marcus Hacker
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-02-05       Impact factor: 9.236

3.  A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: I. Simulations.

Authors:  Matthias C Schabel; Jacob U Fluckiger; Edward V R DiBella
Journal:  Phys Med Biol       Date:  2010-08-03       Impact factor: 3.609

4.  Influence of the cardiac cycle on time-intensity curves using multislice dynamic magnetic resonance perfusion.

Authors:  Alain Nchimi; Isabelle Mancini; Thomas K Y Broussaud
Journal:  Int J Cardiovasc Imaging       Date:  2014-06-14       Impact factor: 2.357

Review 5.  Cardiac MRI and Ischemic Heart Disease: Role in Diagnosis and Risk Stratification.

Authors:  Rahul N Sawlani; Jeremy D Collins
Journal:  Curr Atheroscler Rep       Date:  2016-05       Impact factor: 5.113

6.  Ischemic extent as a biomarker for characterizing severity of coronary artery stenosis with blood oxygen-sensitive MRI.

Authors:  Sotirios A Tsaftaris; Richard Tang; Xiangzhi Zhou; Debiao Li; Rohan Dharmakumar
Journal:  J Magn Reson Imaging       Date:  2012-01-13       Impact factor: 4.813

7.  Leakage and water exchange characterization of gadofosveset in the myocardium.

Authors:  Octavia Bane; Daniel C Lee; Brandon C Benefield; Kathleen R Harris; Neil R Chatterjee; James C Carr; Timothy J Carroll
Journal:  Magn Reson Imaging       Date:  2013-12-07       Impact factor: 2.546

8.  Constrained estimation of the arterial input function for myocardial perfusion cardiovascular magnetic resonance.

Authors:  Jacob U Fluckiger; Matthias C Schabel; Edward V R DiBella
Journal:  Magn Reson Med       Date:  2011-03-28       Impact factor: 4.668

9.  An empirical method for reducing variability and complexity of myocardial perfusion quantification by dual bolus cardiac MRI.

Authors:  Neil Chatterjee; Brandon C Benefield; Kathleen R Harris; Jacob U Fluckiger; Timothy Carroll; Daniel C Lee
Journal:  Magn Reson Med       Date:  2016-09-08       Impact factor: 4.668

Review 10.  Quantification in cardiac MRI: advances in image acquisition and processing.

Authors:  Anil K Attili; Andreas Schuster; Eike Nagel; Johan H C Reiber; Rob J van der Geest
Journal:  Int J Cardiovasc Imaging       Date:  2010-02       Impact factor: 2.357

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