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Tracer-kinetic models allow for the quantification of kinetic parameters such as blood flow from dynamic contrast-enhanced magnetic resonance (MR) images.
Multilayer feedforward networks are universal approximators
K. Hornik, M. Stinchcombe, and H. White · 1989
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Uncertainty in the analysis of tracer kinetics using dynamic contrast-enhanced T1-weighted MRI
D. L. Buckley · 2002
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Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association
M. D. Cerqueira, N. J. Weissman, V. Dilsizian, A. K. Jacobs, S. Kaul, W. K. Laskey, D. J. Pennell, J. A. Rumberger, T. Ryan, M. S. Verani, and American Heart Association Writing Group on Myocardial Segmentation and Registration for Cardiac Imaging · 2002
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Magnetic resonance perfusion measurements for the noninvasive detection of coronary artery disease
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Quantification of myocardial perfusion by cardiovascular magnetic resonance
M. Jerosch-herold · 2010
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Assessment of advanced coronary artery disease: Advantages of quantitative cardiac magnetic resonance perfusion analysis
A. R. Patel, P. F. Antkowiak, K. R. Nandalur, A. M. West, M. Salerno, V. Arora, J. Christopher, F. H. Epstein, and C. M. Kramer · 2010
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Development of a universal dual-bolus injection scheme for the quantitative assessment of myocardial perfusion cardiovascular magnetic resonance
M. Ishida, A. Schuster, G. Morton, A. Chiribiri, S. Hussain, M. Paul, N. Merkle, H. Steen, D. Lossnitzer, B. Schnackenburg, K. Alfakih, S. Plein, and E. Nagel · 2011
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High-resolution magnetic resonance myocardial perfusion imaging at 3.0-tesla to detect hemodynamically significant coronary stenoses as determined by fractional flow reserve
T. Lockie, M. Ishida, D. Perera, A. Chiribiri, K. De Silva, S. Kozerke, M. Marber, E. Nagel, R. Rezavi, S. Redwood, and S. Plein · 2011
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Training and accreditation in cardiovascular magnetic resonance in Europe: A position statement of the working group on cardiovascular magnetic resonance of the European Society of Cardiology
S. Plein, J. Schulz-Menger, A. Almeida, H. Mahrholdt, F. Rademakers, D. Pennell, E. Nagel, J. Schwitter, and M. Lombardi · 2011
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Tracer kinetic modelling in MRI: estimating perfusion and capillary permeability
S. P. Sourbron and D. L. Buckley · 2011
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Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC): a prospective trial
J. P. Greenwood, N. Maredia, J. F. Younger, J. M. Brown, J. Nixon, C. C. Everett, P. Bijsterveld, J. P. Ridgway, A. Radjenovic, C. J. Dickinson, S. G. Ball, and S. Plein · 2012
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Efficient backprop
Y. A. LeCun, L. Bottou, G. B. Orr, and K. R. Müller · 2012
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Myocardial blood flow at rest and stress measured with dynamic contrast-enhanced MRI: Comparison of a distributed parameter model with a fermi function model
D. A. Broadbent, J. D. Biglands, A. Larghat, S. P. Sourbron, A. Radjenovic, J. P. Greenwood, S. Plein, and D. L. Buckley · 2013
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Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: A primer
M. Ingrisch and S. Sourbron · 2013
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MR-IMPACT II: Magnetic resonance imaging for myocardial perfusion assessment in coronary artery disease trial: Perfusion-cardiac magnetic resonance vs. single-photon emission computed tomography for the detection of coronary artery disease: A comparative
J. Schwitter, C. M. Wacker, N. Wilke, N. Al-Saadi, E. Sauer, K. Huettle, S. O. Schönberg, A. Luchner, O. Strohm, H. Ahlstrom, T. Dill, N. Hoebel, and T. Simor · 2013
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Assessment of blood-brain barrier disruption using dynamic contrast-enhanced MRI. A systematic review
A. K. Heye, R. D. Culling, M. D. C. Valdés Hernández, M. J. Thrippleton, and J. M. Wardlaw · 2014
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Cardiac Magnetic Resonance Stress Perfusion Imaging for Evaluation of Patients With Chest Pain
R. Y. Kwong, Y. Ge, K. Steel, S. Bingham, S. Abdullah, K. Fujikura, W. Wang, A. Pandya, Y.-Y. Chen, J. R. Mikolich, S. Boland, A. E. Arai, W. P. Bandettini, S. M. Shanbhag, A. R. Patel, A. Narang, A. Farzaneh-Far, B. Romer, J. F. Heitner, J. Y. Ho, J. Singh, C. Shenoy, A. Hughes, S. W. Leung, M. Marji, J. A. Gonzalez, S. Mehta, D. J. Shah, D. Debs, S. V. Raman, A. Guha, V. A. Ferrari, J. Schulz-Menger, R. Hachamovitch, M. Stuber, and O. P. Simonetti · 2019
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Magnetic Resonance Perfusion or Fractional Flow Reserve in Coronary Disease
E. Nagel, J. P. Greenwood, G. P. McCann, N. Bettencourt, A. M. Shah, S. T. Hussain, D. Perera, S. Plein, C. Bucciarelli-Ducci, M. Paul, M. A. Westwood, M. Marber, W.-S. Richter, V. O. Puntmann, C. Schwenke, J. Schulz-Menger, R. Das, J. Wong, D. J. Hausenloy, H. Steen, and C. Berry · 2019
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Coronary Microvascular Dysfunction Is Associated With Myocardial Ischemia and Abnormal Coronary Perfusion During Exercise
H. Rahman, M. Ryan, M. Lumley, B. Modi, H. McConkey, H. Ellis, C. Scannell, B. Clapp, M. Marber, A. Webb, A. Chiribiri, and D. Perera · 2019
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
M. Raissi, P. Perdikaris, and G. E. Karniadakis · 2019
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F. Schwab, M. Ingrisch, R. Marcus, F. Bamberg, K. Hildebrandt, C. Adrion, C. Gliemi, K. Nikolaou, M. Reiser, and D. Theisen · 2015
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Effect of care guided by cardiovascular magnetic resonance, myocardial perfusion scintigraphy, or NICE guidelines on subsequent unnecessary angiography rates :The CE-MARC 2 randomized clinical trial
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Parameter estimation of perfusion models in dynamic contrast-enhanced imaging: a unified framework for model comparison
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Prognostic Value of Quantitative Stress Perfusion Cardiac Magnetic Resonance
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Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data
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