Non-contrast coronary magnetic resonance angiography: current frontiers and future horizons

[1]  Jong Chul Ye,et al.  ${k}$ -Space Deep Learning for Accelerated MRI , 2020, IEEE Transactions on Medical Imaging.

[2]  R. Solomon.  Post Contrast Acute Kidney Injury , 2020, Textbook of Cardiorenal Medicine.

[3]  Jaime L. Shaw,et al.  Deep learning within a priori temporal feature spaces for large-scale dynamic MR image reconstruction: Application to 5-D cardiac MR Multitasking , 2019, MICCAI.

[4]  Virginia W. Lesslie,et al.  Diagnostic Accuracy of Noncontrast Self-navigated Free-breathing MR Angiography versus CT Angiography: A Prospective Study in Pediatric Patients with Suspected Anomalous Coronary Arteries. , 2019, Academic radiology.

[5]  M. Kitajima,et al.  Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers , 2019, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[6]  R. Edelman,et al.  Submitted to Magnetic Resonance in Medicine Natively Fat-Suppressed 5D Whole-Heart MRI with a Radial Free-Running Fast- Interrupted Steady-State (FISS) Sequence at 1.5T and 3T , 2019 .

[7]  M. Stuber,et al.  Noncontrast free-breathing respiratory self-navigated coronary artery cardiovascular magnetic resonance angiography at 3 T using lipid insensitive binomial off-resonant excitation (LIBRE) , 2019, Journal of Cardiovascular Magnetic Resonance.

[8]  K. Kito,et al.  Clinical utility of non-contrast T1-weighted magnetic resonance imaging in percutaneous coronary intervention: A case report. , 2019, Journal of Cardiology Cases.

[9]  Seth A. Smith,et al.  Trajectory optimized NUFFT: Faster non‐Cartesian MRI reconstruction through prior knowledge and parallel architectures , 2018, Magnetic resonance in medicine.

[10]  J. Collins,et al.  Accelerated, free‐breathing, noncontrast, electrocardiograph‐triggered, thoracic MR angiography with stack‐of‐stars k‐space sampling and GRASP reconstruction , 2018, Magnetic resonance in medicine.

[11]  René M. Botnar,et al.  Five‐minute whole‐heart coronary MRA with sub‐millimeter isotropic resolution, 100% respiratory scan efficiency, and 3D‐PROST reconstruction , 2018, Magnetic resonance in medicine.

[12]  Vivek Muthurangu,et al.  Real‐time cardiovascular MR with spatio‐temporal artifact suppression using deep learning–proof of concept in congenital heart disease , 2018, Magnetic resonance in medicine.

[13]  Mohammad Hossein Khosravi,et al.  Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017 , 2018, Lancet.

[14]  Christoph Forman,et al.  Non-contrast compressed sensing whole-heart coronary magnetic resonance angiography at 3T: A comparison with conventional imaging. , 2018, European journal of radiology.

[15]  M. Stuber,et al.  Flexible water excitation for fat‐free MRI at 3T using lipid insensitive binomial off‐resonant RF excitation (LIBRE) pulses , 2018, Magnetic resonance in medicine.

[16]  Z. Fan,et al.  Additive value of 3T cardiovascular magnetic resonance coronary angiography for detecting coronary artery disease , 2018, Journal of Cardiovascular Magnetic Resonance.

[17]  Takashi Ida,et al.  Deep Shrinkage Convolutional Neural Network for Adaptive Noise Reduction , 2018, IEEE Signal Processing Letters.

[18]  Robert R. Edelman,et al.  Radial fast interrupted steady‐state (FISS) magnetic resonance imaging , 2018, Magnetic resonance in medicine.

[19]  Leo Grady,et al.  Automated estimation of image quality for coronary computed tomographic angiography using machine learning , 2018, European Radiology.

[20]  Debiao Li,et al.  Efficient and Accurate MRI Super-Resolution using a Generative Adversarial Network and 3D Multi-Level Densely Connected Network , 2018, MICCAI.

[21]  Hersh Chandarana,et al.  Automated image quality evaluation of T2‐weighted liver MRI utilizing deep learning architecture , 2018, Journal of magnetic resonance imaging : JMRI.

[22]  Li Feng,et al.  5D whole‐heart sparse MRI , 2018, Magnetic resonance in medicine.

[23]  Sebastian Kozerke,et al.  Simple motion correction strategy reduces respiratory-induced motion artifacts for k-t accelerated and compressed-sensing cardiovascular magnetic resonance perfusion imaging , 2018, Journal of Cardiovascular Magnetic Resonance.

[24]  Feng Shi,et al.  Brain MRI super resolution using 3D deep densely connected neural networks , 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

[25]  David N. Firmin,et al.  An in-vivo comparison of stimulated-echo and motion compensated spin-echo sequences for 3 T diffusion tensor cardiovascular magnetic resonance at multiple cardiac phases , 2018, Journal of Cardiovascular Magnetic Resonance.

[26]  Jin Keun Seo,et al.  Deep learning for undersampled MRI reconstruction , 2017, Physics in medicine and biology.

[27]  Bruce R. Rosen,et al.  Image reconstruction by domain-transform manifold learning , 2017, Nature.

[28]  G. Bongartz,et al.  Post-contrast acute kidney injury – Part 1: Definition, clinical features, incidence, role of contrast medium and risk factors , 2018, European Radiology.

[29]  G. Bongartz,et al.  Post-contrast acute kidney injury. Part 2: risk stratification, role of hydration and other prophylactic measures, patients taking metformin and chronic dialysis patients , 2018, European Radiology.

[30]  Mohammad Hossein Khosravi,et al.  Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: a systematic analysis for the Global Burden of Disease Study 2016 , 2017, Lancet.

[31]  Yogesh,et al.  A review and comprehensive comparison of image de-noising techniques , 2017, 2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).

[32]  M. Taguri,et al.  Stress Perfusion Coronary Flow Reserve Versus Cardiac Magnetic Resonance for Known or Suspected CAD. , 2017, Journal of the American College of Cardiology.

[33]  Einar Heiberg,et al.  Self‐gated fetal cardiac MRI with tiny golden angle iGRASP: A feasibility study , 2017, Journal of magnetic resonance imaging : JMRI.

[34]  F. von Knobelsdorff-Brenkenhoff,et al.  Effect of Nitroglycerin on the Performance of MR Coronary Angiography , 2017, Journal of magnetic resonance imaging : JMRI.

[35]  Dwight G. Nishimura,et al.  3D image‐based navigators for coronary MR angiography , 2017, Magnetic resonance in medicine.

[36]  Li Feng,et al.  Compressed sensing for body MRI , 2017, Journal of magnetic resonance imaging : JMRI.

[37]  Debiao Li,et al.  Noninvasive measurement of pressure gradient across a coronary stenosis using phase contrast (PC)‐MRI: A feasibility study , 2017, Magnetic resonance in medicine.

[38]  Lei Zhang,et al.  Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.

[39]  Yunjin Chen,et al.  Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[40]  René M. Botnar,et al.  Coronary MR angiography at 3T: fat suppression versus water-fat separation , 2016, Magnetic Resonance Materials in Physics, Biology and Medicine.

[41]  Jin‐Ho Choi,et al.  Coronary Artery Total Occlusion: MR Angiographic Imaging Findings and Success Rates of Percutaneous Coronary Intervention according to Intraluminal Signal Intensity Patterns. , 2016, Radiology.

[42]  Leon Axel,et al.  XD‐GRASP: Golden‐angle radial MRI with reconstruction of extra motion‐state dimensions using compressed sensing , 2016, Magnetic resonance in medicine.

[43]  M. Stuber,et al.  Is there an optimal respiratory reference position for self‐navigated whole‐heart coronary MR angiography? , 2016, Journal of magnetic resonance imaging : JMRI.

[44]  F. Sardanelli,et al.  Diagnostic accuracy of magnetic resonance angiography for detection of coronary artery disease: a systematic review and meta-analysis , 2016, European Radiology.

[45]  Maria Siebes,et al.  Fundamentals in clinical coronary physiology: why coronary flow is more important than coronary pressure. , 2015, European heart journal.

[46]  Kieren Grant Hollingsworth,et al.  Reducing acquisition time in clinical MRI by data undersampling and compressed sensing reconstruction , 2015, Physics in medicine and biology.

[47]  Markus Henningsson,et al.  100% Efficient three‐dimensional coronary MR angiography with two‐dimensional beat‐to‐beat translational and bin‐to‐bin affine motion correction , 2015, Magnetic resonance in medicine.

[48]  M. Markl,et al.  4D flow cardiovascular magnetic resonance consensus statement , 2015, Journal of Cardiovascular Magnetic Resonance.

[49]  Shigeru Furui,et al.  Gadolinium-based Contrast Agent Accumulates in the Brain Even in Subjects without Severe Renal Dysfunction: Evaluation of Autopsy Brain Specimens with Inductively Coupled Plasma Mass Spectroscopy. , 2015, Radiology.

[50]  Markus Henningsson,et al.  Highly efficient respiratory motion compensated free‐breathing coronary mra using golden‐step Cartesian acquisition , 2015, Journal of magnetic resonance imaging : JMRI.

[51]  H. Goo.  Coronary Artery Imaging in Children , 2015, Korean journal of radiology.

[52]  Petter Dyverfeldt,et al.  Automatic multi-vessel volume flow calculation with 4D flow CMR , 2015, Journal of Cardiovascular Magnetic Resonance.

[53]  D. Berman,et al.  ECG and navigator‐free four‐dimensional whole‐heart coronary MRA for simultaneous visualization of cardiac anatomy and function , 2014, Magnetic resonance in medicine.

[54]  Sungheon Kim,et al.  Golden‐angle radial sparse parallel MRI: Combination of compressed sensing, parallel imaging, and golden‐angle radial sampling for fast and flexible dynamic volumetric MRI , 2014, Magnetic resonance in medicine.

[55]  Manesh R. Patel,et al.  Prevalence and predictors of nonobstructive coronary artery disease identified with coronary angiography in contemporary clinical practice. , 2014, American heart journal.

[56]  P. Damman,et al.  Physiological Basis and Long-Term Clinical Outcome of Discordance Between Fractional Flow Reserve and Coronary Flow Velocity Reserve in Coronary Stenoses of Intermediate Severity , 2014, Circulation. Cardiovascular interventions.

[57]  David Saloner,et al.  Accelerated MRI with CIRcular Cartesian UnderSampling (CIRCUS): a variable density Cartesian sampling strategy for compressed sensing and parallel imaging. , 2014, Quantitative imaging in medicine and surgery.

[58]  H. Honda,et al.  Quantitative analysis of 1.5-T whole-heart coronary MR angiograms obtained with 32-channel cardiac coils: a comparison with conventional quantitative coronary angiography. , 2014, Radiology.

[59]  Shweta Gupta,et al.  A review and comprehensive comparison of image denoising techniques , 2014, 2014 International Conference on Computing for Sustainable Global Development (INDIACom).

[60]  S. Raman,et al.  Iron and Atherosclerosis: Nailing Down a Novel Target with Magnetic Resonance , 2014, Journal of Cardiovascular Translational Research.

[61]  Daisuke Takenaka,et al.  High signal intensity in the dentate nucleus and globus pallidus on unenhanced T1-weighted MR images: relationship with increasing cumulative dose of a gadolinium-based contrast material. , 2014, Radiology.

[62]  Michael Elad,et al.  ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA , 2014, Magnetic resonance in medicine.

[63]  G. Grunwald,et al.  Normal coronary rates for elective angiography in the Veterans Affairs Healthcare System: insights from the VA CART program (veterans affairs clinical assessment reporting and tracking). , 2014, Journal of the American College of Cardiology.

[64]  Mehmet Akçakaya,et al.  Accelerated isotropic sub‐millimeter whole‐heart coronary MRI: Compressed sensing versus parallel imaging , 2014, Magnetic resonance in medicine.

[65]  R. Nakayama,et al.  Learning-based super-resolution technique significantly improves detection of coronary artery stenoses on 1.5T whole-heart coronary MRA , 2014, Journal of Cardiovascular Magnetic Resonance.

[66]  Himanshu Bhat,et al.  Whole‐heart coronary MRA with 100% respiratory gating efficiency: Self‐navigated three‐dimensional retrospective image‐based motion correction (TRIM) , 2014, Magnetic resonance in medicine.

[67]  JCSJointWorkingGroup.  Guidelines for diagnosis and management of cardiovascular sequelae in Kawasaki disease (JCS 2013). Digest version. , 2014, Circulation journal : official journal of the Japanese Circulation Society.

[68]  E. Nagel,et al.  Additive Value of Magnetic Resonance Coronary Angiography in a Comprehensive Cardiac Magnetic Resonance Stress-Rest Protocol for Detection of Functionally Significant Coronary Artery Disease: A Pilot Study , 2013, Circulation. Cardiovascular imaging.

[69]  J. Musser,et al.  Differential Virulence Gene Expression of Group A Streptococcus Serotype M3 in Response to Co-Culture with Moraxella catarrhalis , 2013, PloS one.

[70]  R. Virmani,et al.  Classification of coronary atherosclerotic plaques ex vivo with T1, T2, and ultrashort echo time CMR. , 2013, JACC. Cardiovascular imaging.

[71]  M. Stuber,et al.  Non-Invasive Detection of Coronary Endothelial Response to Sequential Handgrip Exercise in Coronary Artery Disease Patients and Healthy Adults , 2013, PloS one.

[72]  Vahid Tarokh,et al.  Compressed sensing reconstruction for whole‐heart imaging with 3D radial trajectories: A graphics processing unit implementation , 2013, Magnetic resonance in medicine.

[73]  Norberto Malpica,et al.  Single-image super-resolution of brain MR images using overcomplete dictionaries , 2013, Medical Image Anal..

[74]  Peter Reimer,et al.  Nephrogenic systemic fibrosis and gadolinium-based contrast media: updated ESUR Contrast Medium Safety Committee guidelines , 2013, European Radiology.

[75]  Masaaki Ito,et al.  Prognostic value of coronary magnetic resonance angiography for prediction of cardiac events in patients with suspected coronary artery disease. , 2012, Journal of the American College of Cardiology.

[76]  B. Rutt,et al.  Does iron inhibit calcification during atherosclerosis? , 2012, Free radical biology & medicine.

[77]  S. Nielles-Vallespin,et al.  Respiratory self‐navigation for whole‐heart bright‐blood coronary MRI: Methods for robust isolation and automatic segmentation of the blood pool , 2012, Magnetic resonance in medicine.

[78]  Nicole Seiberlich,et al.  Parallel MR imaging , 2012, Journal of magnetic resonance imaging : JMRI.

[79]  Khaled Z. Abd-Elmoniem,et al.  The Feasibility of 350 &mgr;m Spatial Resolution Coronary Magnetic Resonance Angiography at 3 T in Humans , 2012, Investigative radiology.

[80]  Jerry L. Prince,et al.  Vessel centerline tracking and boundary segmentation in coronary MRA with minimal manual interaction , 2012, IEEE International Symposium on Biomedical Imaging.

[81]  M. Westhoff-Bleck,et al.  Anomalous intramural course of coronary arteries in congenital heart disease--three case reports and review of the literature. , 2012, Congenital heart disease.

[82]  S. Brener,et al.  Risks and Complications of Coronary Angiography: A Comprehensive Review , 2011, Global journal of health science.

[83]  J. Sanz,et al.  Imaging of congenital coronary artery anomalies , 2011, Pediatric Radiology.

[84]  M. Pencina,et al.  Improved Cardiac Risk Assessment With Noninvasive Measures of Coronary Flow Reserve , 2011, Circulation.

[85]  Danny C. Kim,et al.  Free-Breathing Radial 3D Fat-Suppressed T1-Weighted Gradient Echo Sequence: A Viable Alternative for Contrast-Enhanced Liver Imaging in Patients Unable to Suspend Respiration , 2011, Investigative radiology.

[86]  Vahid Tarokh,et al.  Low‐dimensional‐structure self‐learning and thresholding: Regularization beyond compressed sensing for MRI Reconstruction , 2011, Magnetic resonance in medicine.

[87]  J. Messenger,et al.  Hospital variability in the rate of finding obstructive coronary artery disease at elective, diagnostic coronary angiography. , 2011, Journal of the American College of Cardiology.

[88]  Matthias Stuber,et al.  Coronary artery distensibility assessed by 3.0 Tesla coronary magnetic resonance imaging in subjects with and without coronary artery disease. , 2011, The American journal of cardiology.

[89]  N. Yamada,et al.  High-intensity signals in carotid plaques on T1-weighted magnetic resonance imaging predict coronary events in patients with coronary artery disease. , 2011, Journal of the American College of Cardiology.

[90]  Himanshu Bhat,et al.  3D radial sampling and 3D affine transform‐based respiratory motion correction technique for free‐breathing whole‐heart coronary MRA with 100% imaging efficiency , 2011, Magnetic resonance in medicine.

[91]  Marc Dewey,et al.  Coronary CT versus MR angiography: pro CT--the role of CT angiography. , 2011, Radiology.

[92]  A. Haase,et al.  FLASH imaging: rapid NMR imaging using low flip-angle pulses. 1986. , 1986, Journal of magnetic resonance.

[93]  E. Wellnhofer,et al.  A prospective study for comparison of MR and CT imaging for detection of coronary artery stenosis. , 2011, JACC. Cardiovascular imaging.

[94]  Helmut Baumgartner,et al.  ESC Guidelines for the management of grown-up congenital heart disease (new version 2010). , 2010, European heart journal.

[95]  K. Katahira,et al.  Assessment of coronary artery disease using magnetic resonance coronary angiography: a national multicenter trial. , 2010, Journal of the American College of Cardiology.

[96]  Leon Axel,et al.  Combination of Compressed Sensing and Parallel Imaging for Highly-Accelerated 3 D First-Pass Cardiac Perfusion MRI , 2009 .

[97]  M. Lustig,et al.  SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space , 2010, Magnetic resonance in medicine.

[98]  Richard D. White,et al.  ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. , 2010, Circulation.

[99]  Manesh R. Patel,et al.  ACCF/ACR/AHA/NASCI/SCMR 2010 expert consensus document on cardiovascular magnetic resonance: a report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. , 2010, Circulation.

[100]  N. Codella,et al.  Respiratory and cardiac self‐gated free‐breathing cardiac CINE imaging with multiecho 3D hybrid radial SSFP acquisition , 2010, Magnetic resonance in medicine.

[101]  Peter Gatehouse,et al.  Ultra-short echo time cardiovascular magnetic resonance of atherosclerotic carotid plaque , 2010, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[102]  D. Peters,et al.  Coronary MR imaging: effect of timing and dose of isosorbide dinitrate administration. , 2010, Radiology.

[103]  Pierrick Coupé,et al.  Author manuscript, published in "Journal of Magnetic Resonance Imaging 2010;31(1):192-203" DOI: 10.1002/jmri.22003 Adaptive Non-Local Means Denoising of MR Images with Spatially Varying Noise Levels , 2010 .

[104]  Jaladhar Neelavalli,et al.  Imaging the vessel wall in major peripheral arteries using susceptibility‐weighted imaging , 2009, Journal of magnetic resonance imaging : JMRI.

[105]  Shoichi Koga,et al.  Characterization of hyperintense plaque with noncontrast T(1)-weighted cardiac magnetic resonance coronary plaque imaging: comparison with multislice computed tomography and intravascular ultrasound. , 2009, JACC. Cardiovascular imaging.

[106]  Debiao Li,et al.  Contrast-enhanced whole-heart coronary magnetic resonance angiography at 3.0-T: a comparative study with X-ray angiography in a single center. , 2009, Journal of the American College of Cardiology.

[107]  J. Carr,et al.  Contrast-Enhanced Whole-Heart Coronary Magnetic Resonance Angiography at 3.0 T: Comparison With Steady-State Free Precession Technique at 1.5 T , 2008, Investigative radiology.

[108]  M. McConnell,et al.  Noninvasive assessment of coronary vasodilation using cardiovascular magnetic resonance in patients at high risk for coronary artery disease , 2008, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.

[109]  M. Lustig,et al.  Compressed Sensing MRI , 2008, IEEE Signal Processing Magazine.

[110]  Orlando P Simonetti,et al.  In vivo atherosclerotic plaque characterization using magnetic susceptibility distinguishes symptom-producing plaques. , 2008, JACC. Cardiovascular imaging.

[111]  Debiao Li,et al.  Comparison of 3D free-breathing coronary MR angiography and 64-MDCT angiography for detection of coronary stenosis in patients with high calcium scores. , 2007, AJR. American journal of roentgenology.

[112]  D. Donoho,et al.  Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.

[113]  Alessandro Foi,et al.  Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering , 2007, IEEE Transactions on Image Processing.

[114]  René M. Botnar,et al.  Delayed-enhancement cardiovascular magnetic resonance coronary artery wall imaging: comparison with multislice computed tomography and quantitative coronary angiography. , 2007, Journal of the American College of Cardiology.

[115]  Olaf Dössel,et al.  An Optimal Radial Profile Order Based on the Golden Ratio for Time-Resolved MRI , 2007, IEEE Transactions on Medical Imaging.

[116]  J Velikina,et al.  Highly constrained backprojection for time‐resolved MRI , 2006, Magnetic resonance in medicine.

[117]  M. Van Cauteren,et al.  Assessment of coronary arteries with total study time of less than 30 minutes by using whole-heart coronary MR angiography. , 2005, Radiology.

[118]  O. Simonetti,et al.  Three‐dimensional breathhold SSFP coronary MRA: A comparison between 1.5T and 3.0T , 2005, Journal of magnetic resonance imaging : JMRI.

[119]  P. Börnert,et al.  Free‐breathing whole‐heart coronary MRA with 3D radial SSFP and self‐navigated image reconstruction , 2005, Magnetic resonance in medicine.

[120]  R. Fimmers,et al.  Coronary MR angiography at 3.0 T versus that at 1.5 T: initial results in patients suspected of having coronary artery disease. , 2005, Radiology.

[121]  G. Adam,et al.  Evaluation of balanced steady-state free precession (TrueFISP) and K-space segmented gradient echo sequences for 3D coronary MR angiography with navigator gating at 3 Tesla. , 2004, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

[122]  I. Seimenis,et al.  Magnetic resonance angiography is equivalent to X-ray coronary angiography for the evaluation of coronary arteries in Kawasaki disease. , 2004, Journal of the American College of Cardiology.

[123]  Andrew C Larson,et al.  Self‐gated cardiac cine MRI , 2004, Magnetic resonance in medicine.

[124]  Jeffrey A. Fessler,et al.  Nonuniform fast Fourier transforms using min-max interpolation , 2003, IEEE Trans. Signal Process..

[125]  René M. Botnar,et al.  “Soap‐Bubble” visualization and quantitative analysis of 3D coronary magnetic resonance angiograms , 2002, Magnetic resonance in medicine.

[126]  Robin M Heidemann,et al.  Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.

[127]  René M. Botnar,et al.  Coronary Magnetic Resonance Angiography in Adolescents and Young Adults With Kawasaki Disease , 2002, Circulation.

[128]  René M. Botnar,et al.  Impact of navigator timing on free‐breathing submillimeter 3D coronary magnetic resonance angiography , 2002, Magnetic resonance in medicine.

[129]  René M. Botnar,et al.  Coronary magnetic resonance angiography for the detection of coronary stenoses. , 2001, The New England journal of medicine.

[130]  Hayit Greenspan,et al.  MRI Inter-slice Reconstruction Using Super-Resolution , 2001, MICCAI.

[131]  G Laub,et al.  3D magnetization‐prepared true‐FISP: A new technique for imaging coronary arteries , 2001, Magnetic resonance in medicine.

[132]  René M. Botnar,et al.  Noninvasive Coronary Vessel Wall and Plaque Imaging With Magnetic Resonance Imaging , 2000, Circulation.

[133]  C. Higgins,et al.  Coronary sinus flow measurement by means of velocity-encoded cine MR imaging: validation by using flow probes in dogs. , 2000, Radiology.

[134]  T Klemm,et al.  MR imaging in the presence of vascular stents: A systematic assessment of artifacts for various stent orientations, sequence types, and field strengths , 2000, Journal of magnetic resonance imaging : JMRI.

[135]  K Takeda,et al.  MR measurement of coronary blood flow , 1999, Journal of magnetic resonance imaging : JMRI.

[136]  J. Pipe.  Motion correction with PROPELLER MRI: Application to head motion and free‐breathing cardiac imaging , 1999, Magnetic resonance in medicine.

[137]  P. Boesiger,et al.  SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.

[138]  René M. Botnar,et al.  Improved coronary artery definition with T2-weighted, free-breathing, three-dimensional coronary MRA. , 1999, Circulation.

[139]  W. Manning,et al.  Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays , 1997, Magnetic resonance in medicine.

[140]  C. Higgins,et al.  Quantification of coronary artery volume flow rate using fast velocity-encoded cine MR imaging. , 1997, AJR. American journal of roentgenology.

[141]  H. Gudbjartsson,et al.  The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.

[142]  Albert Macovski,et al.  Coronary Angiography with Magnetization‐Prepared T2 Contrast , 1995, Magnetic resonance in medicine.

[143]  R. Edelman,et al.  A preliminary report comparing magnetic resonance coronary angiography with conventional angiography. , 1993, The New England journal of medicine.

[144]  J. Mugler,et al.  Three‐dimensional magnetization‐prepared rapid gradient‐echo imaging (3D MP RAGE) , 1990, Magnetic resonance in medicine.

[145]  V M Haughton,et al.  Magnetic susceptibility artifacts in gradient-recalled echo MR imaging. , 1988, AJNR. American journal of neuroradiology.

[146]  W. Hood.  Regional venous drainage of the human heart. , 1968, British heart journal.