Iron imaging in myocardial infarction reperfusion injury

[1]  Yi Wang,et al.  Free breathing three-dimensional cardiac quantitative susceptibility mapping for differential cardiac chamber blood oxygenation – initial validation in patients with cardiovascular disease inclusive of direct comparison to invasive catheterization , 2019, Journal of Cardiovascular Magnetic Resonance.

[2]  Shonit Punwani,et al.  The effect of low resolution and coverage on the accuracy of susceptibility mapping , 2018, Magnetic resonance in medicine.

[3]  Yi Wang,et al.  Cardiac quantitative susceptibility mapping (QSM) for heart chamber oxygenation , 2018, Magnetic resonance in medicine.

[4]  N. Sattar,et al.  Persistent Iron Within the Infarct Core After ST-Segment Elevation Myocardial Infarction , 2017, JACC. Cardiovascular imaging.

[5]  B. Ibáñez,et al.  Predictors of Intramyocardial Hemorrhage After Reperfused ST‐Segment Elevation Myocardial Infarction , 2017, Journal of the American Heart Association.

[6]  V. Fuster,et al.  Neutrophil stunning by metoprolol reduces infarct size , 2017, Nature Communications.

[7]  R. H. Stoffers,et al.  Assessment of myocardial injury after reperfused infarction by T1ρ cardiovascular magnetic resonance , 2017, Journal of Cardiovascular Magnetic Resonance.

[8]  P. Kellman,et al.  Residual Myocardial Iron Following Intramyocardial Hemorrhage During the Convalescent Phase of Reperfused ST-Segment–Elevation Myocardial Infarction and Adverse Left Ventricular Remodeling , 2016, Circulation. Cardiovascular imaging.

[9]  N. Sattar,et al.  Temporal Evolution of Myocardial Hemorrhage and Edema in Patients After Acute ST‐Segment Elevation Myocardial Infarction: Pathophysiological Insights and Clinical Implications , 2016, Journal of the American Heart Association.

[10]  N. Sattar,et al.  Myocardial Hemorrhage After Acute Reperfused ST-Segment–Elevation Myocardial Infarction , 2016, Circulation. Cardiovascular imaging.

[11]  Sébastien Roujol,et al.  A swine model of infarct-related reentrant ventricular tachycardia: Electroanatomic, magnetic resonance, and histopathological characterization. , 2016, Heart rhythm.

[12]  J. Pilla,et al.  MRI evaluation of injectable hyaluronic acid-based hydrogel therapy to limit ventricular remodeling after myocardial infarction. , 2015, Biomaterials.

[13]  J. Goldfarb,et al.  Imaging of Reperfused Intramyocardial Hemorrhage with Cardiovascular Magnetic Resonance Susceptibility Weighted Imaging (SWI) , 2015, PloS one.

[14]  J. Pilla,et al.  Injectable microsphere gel progressively improves global ventricular function, regional contractile strain, and mitral regurgitation after myocardial infarction. , 2015, The Annals of thoracic surgery.

[15]  Yi Wang,et al.  Simultaneous Phase Unwrapping and Removal of Chemical Shift (SPURS) Using Graph Cuts: Application in Quantitative Susceptibility Mapping , 2015, IEEE Transactions on Medical Imaging.

[16]  R. Wood,et al.  mRNA regulation of cardiac iron transporters and ferritin subunits in a mouse model of iron overload. , 2014, Experimental hematology.

[17]  S. Plein,et al.  Susceptibility-weighted cardiovascular magnetic resonance in comparison to T2 and T2 star imaging for detection of intramyocardial hemorrhage following acute myocardial infarction at 3 Tesla , 2014, Journal of Cardiovascular Magnetic Resonance.

[18]  C. Lücke,et al.  The relation between hypointense core, microvascular obstruction and intramyocardial haemorrhage in acute reperfused myocardial infarction assessed by cardiac magnetic resonance imaging , 2014, European Radiology.

[19]  J. Goldfarb,et al.  Magnetic resonance susceptibility weighted phase imaging for the assessment of reperfusion intramyocardial hemorrhage , 2014, Magnetic resonance in medicine.

[20]  Lawrence L. Wald,et al.  Fast quantitative susceptibility mapping with L1‐regularization and automatic parameter selection , 2013, Magnetic resonance in medicine.

[21]  M. Pop,et al.  Quantitative magnetic resonance imaging can distinguish remodeling mechanisms after acute myocardial infarction based on the severity of ischemic insult , 2013, Magnetic resonance in medicine.

[22]  J. Núñez,et al.  Cardiovascular magnetic resonance-derived intramyocardial hemorrhage after STEMI: Influence on long-term prognosis, adverse left ventricular remodeling and relationship with microvascular obstruction. , 2013, International journal of cardiology.

[23]  S. Tsaftaris,et al.  Chronic Manifestation of Postreperfusion Intramyocardial Hemorrhage as Regional Iron Deposition: A Cardiovascular Magnetic Resonance Study With Ex Vivo Validation , 2013, Circulation. Cardiovascular imaging.

[24]  Pascal Spincemaille,et al.  Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping , 2013, Magnetic resonance in medicine.

[25]  Steffen Ringgaard,et al.  Assessment of intramyocardial hemorrhage by T1-weighted cardiovascular magnetic resonance in reperfused acute myocardial infarction , 2012, Journal of Cardiovascular Magnetic Resonance.

[26]  J. Gaudart,et al.  Incidence, predictors, and prognostic value of intramyocardial hemorrhage lesions in ST elevation myocardial infarction , 2012, Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions.

[27]  Yi Wang,et al.  Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map , 2012, NeuroImage.

[28]  K. Christman,et al.  Biomaterials for the treatment of myocardial infarction: a 5-year update. , 2011, Journal of the American College of Cardiology.

[29]  Yi Wang,et al.  A novel background field removal method for MRI using projection onto dipole fields (PDF) , 2011, NMR in biomedicine.

[30]  V. Wright,et al.  Bright-Blood T2-Weighted MRI Has High Diagnostic Accuracy for Myocardial Hemorrhage in Myocardial Infarction: A Preclinical Validation Study in Swine , 2011, Circulation. Cardiovascular imaging.

[31]  Mihaela Pop,et al.  Quantitative tracking of edema, hemorrhage, and microvascular obstruction in subacute myocardial infarction in a porcine model by MRI , 2011, Magnetic resonance in medicine.

[32]  Yi Wang,et al.  Morphology enabled dipole inversion (MEDI) from a single‐angle acquisition: Comparison with COSMOS in human brain imaging , 2011, Magnetic resonance in medicine.

[33]  René M. Botnar,et al.  Detection of Intracoronary Thrombus by Magnetic Resonance Imaging in Patients With Acute Myocardial Infarction , 2011, Circulation.

[34]  G. Schuler,et al.  Prognostic value and determinants of a hypointense core in T2-weighted cardiac magnetic resonance in acute reperfused ST-elevation myocardial infarction , 2011, Circulation. Cardiovascular imaging.

[35]  S. Plein,et al.  Reperfusion haemorrhage as determined by cardiovascular MRI is a predictor of adverse left ventricular remodelling and markers of late arrhythmic risk , 2010, Heart.

[36]  S. Iliceto,et al.  The Contribution of Intramyocardial Hemorrhage to the “No‐Reflow Phenomenon”: A Study Performed by Cardiac Magnetic Resonance , 2010, Echocardiography.

[37]  T. Leiner,et al.  Clinical implications of microvascular obstruction and intramyocardial haemorrhage in acute myocardial infarction using cardiovascular magnetic resonance imaging , 2010, European Radiology.

[38]  Yi Wang,et al.  Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: Validation and application to brain imaging , 2010, Magnetic resonance in medicine.

[39]  R. Nijveldt,et al.  Intramyocardial hemorrhage and microvascular obstruction after primary percutaneous coronary intervention , 2009, The International Journal of Cardiovascular Imaging.

[40]  F. Van de Werf,et al.  Impact of myocardial haemorrhage on left ventricular function and remodelling in patients with reperfused acute myocardial infarction. , 2009, European heart journal.

[41]  Yi Wang,et al.  Calculation of susceptibility through multiple orientation sampling (COSMOS): A method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI , 2009, Magnetic resonance in medicine.

[42]  J. Gorman,et al.  Regional heterogeneity of myocardial reperfusion injury: effect of mild hypothermia. , 2009, The Annals of thoracic surgery.

[43]  Mimi C Sammarco,et al.  Ferritin L and H Subunits Are Differentially Regulated on a Post-transcriptional Level* , 2008, Journal of Biological Chemistry.

[44]  Richard Bowtell,et al.  T2* measurements in human brain at 1.5, 3 and 7 T. , 2007, Magnetic resonance imaging.

[45]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.

[46]  John S Leigh,et al.  Quantifying arbitrary magnetic susceptibility distributions with MR , 2004, Magnetic resonance in medicine.

[47]  Chun Yuan,et al.  Hemorrhage in the Atherosclerotic Carotid Plaque: A High-Resolution MRI Study , 2004, Stroke.

[48]  M. Kruszewski,et al.  Labile iron pool: the main determinant of cellular response to oxidative stress. , 2003, Mutation research.

[49]  O. Kakhlon,et al.  The labile iron pool: characterization, measurement, and participation in cellular processes1 1This article is part of a series of reviews on “Iron and Cellular Redox Status.” The full list of papers may be found on the homepage of the journal. , 2002 .

[50]  K. Sugimura,et al.  Hemorrhagic myocardial infarction after coronary reperfusion detected in vivo by magnetic resonance imaging in humans: prevalence and clinical implications. , 1999, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[51]  Y. Vladimirov,et al.  Simultaneous determination of Fe(III) and Fe(II) in water solutions and tissue homogenates using desferal and 1,10-phenanthroline. , 1993, Free radical biology & medicine.

[52]  W. Bradley MR appearance of hemorrhage in the brain. , 1993, Radiology.

[53]  M. Chevion,et al.  Copper and iron are mobilized following myocardial ischemia: possible predictive criteria for tissue injury. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[54]  L. Rudin,et al.  Nonlinear total variation based noise removal algorithms , 1992 .

[55]  G. Pohost,et al.  The effect of postinfarction intramyocardial hemorrhage on transverse relaxation time , 1992, Magnetic resonance in medicine.

[56]  E. H. Perry,et al.  Mean arterial blood pressure changes in premature infants and those at risk for intraventricular hemorrhage. , 1990, The Journal of pediatrics.

[57]  S. Bishop,et al.  Detection of intramyocardial hemorrhage using high-field proton (1H) nuclear magnetic resonance imaging. , 1990, Catheterization and cardiovascular diagnosis.

[58]  B. Rosen,et al.  The role of ferritin and hemosiderin in the MR appearance of cerebral hemorrhage: a histopathologic biochemical study in rats. , 1990, AJR. American journal of roentgenology.

[59]  B. Rosen,et al.  The role of ferritin and hemosiderin in the MR appearance of cerebral hemorrhage: a histopathologic biochemical study in rats. , 1990, AJNR. American journal of neuroradiology.

[60]  R. Kloner,et al.  Early treatment with deferoxamine limits myocardial ischemic/reperfusion injury. , 1989, Free radical biology & medicine.

[61]  E. Braunwald,et al.  Myocardial reperfusion: a double-edged sword? , 1985, The Journal of clinical investigation.