Use of quantitative cardiovascular magnetic resonance myocardial perfusion mapping for characterization of ischemia in patients with left internal mammary coronary artery bypass grafts

[11] Goldman LE(2020)Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update J Cardiovasc Magn Reson 22 17-730

[12] Eisenberg MJ(2017)Myocardial perfusion cardiovascular magnetic resonance: optimized dual sequence and reconstruction for quantification J Cardiovasc Magn Reson 19 43-31

[13] Nagel E(2013)Gadgetron: an open-source framework for medical image reconstruction Magn Reson Med 69 1768-1882

[14] Greenwood JP(2020)Automatic in-line quantitative myocardial perfusion mapping: Processing algorithm and implementation Magn Reson Med 83 712-445

[15] McCann GP(1997)Coronary vasodilatory capacity and flow reserve in normal myocardium supplied by bypass grafts late after surgery Am J Cardiol 80 27-460

[16] Bettencourt N(2004)Functional significance of stenoses in coronary artery bypass grafts. Evaluation by single-photon emission computed tomography perfusion imaging, cardiovascular magnetic resonance, and angiography J Am Coll Cardiol 44 1877-1969

[17] Shah AM(2009)Magnetic resonance adenosine perfusion imaging in patients after coronary artery bypass graft surgery JACC Cardiovasc Imaging 2 437-1493

[18] Hussain ST(2012)Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial Lancet Lond Engl 379 453-668

[19] Bernhardt P(2020)Prognostic value of vasodilator stress perfusion CMR in patients with previous coronary artery bypass graft Eur Heart J Cardiovasc Imaging 12 1958-867

[20] Spiess J(2019)Automated pixel-wise quantitative myocardial perfusion mapping by CMR to detect obstructive coronary artery disease and coronary microvascular dysfunction: validation against invasive coronary physiology JACC Cardiovasc Imaging 24 1487-undefined

[11] Goldman LE(2020)Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update J Cardiovasc Magn Reson 22 17-730

[12] Eisenberg MJ(2017)Myocardial perfusion cardiovascular magnetic resonance: optimized dual sequence and reconstruction for quantification J Cardiovasc Magn Reson 19 43-31

[13] Nagel E(2013)Gadgetron: an open-source framework for medical image reconstruction Magn Reson Med 69 1768-1882

[14] Greenwood JP(2020)Automatic in-line quantitative myocardial perfusion mapping: Processing algorithm and implementation Magn Reson Med 83 712-445

[15] McCann GP(1997)Coronary vasodilatory capacity and flow reserve in normal myocardium supplied by bypass grafts late after surgery Am J Cardiol 80 27-460

[16] Bettencourt N(2004)Functional significance of stenoses in coronary artery bypass grafts. Evaluation by single-photon emission computed tomography perfusion imaging, cardiovascular magnetic resonance, and angiography J Am Coll Cardiol 44 1877-1969

[17] Shah AM(2009)Magnetic resonance adenosine perfusion imaging in patients after coronary artery bypass graft surgery JACC Cardiovasc Imaging 2 437-1493

[18] Hussain ST(2012)Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial Lancet Lond Engl 379 453-668

[19] Bernhardt P(2020)Prognostic value of vasodilator stress perfusion CMR in patients with previous coronary artery bypass graft Eur Heart J Cardiovasc Imaging 12 1958-867

[20] Spiess J(2019)Automated pixel-wise quantitative myocardial perfusion mapping by CMR to detect obstructive coronary artery disease and coronary microvascular dysfunction: validation against invasive coronary physiology JACC Cardiovasc Imaging 24 1487-undefined