A Comprehensive Approach to the Analysis of Contrast Enhanced Cardiac MR Images
暂无分享,去创建一个
Heinz-Otto Peitgen | Achim Seeger | Ola Friman | Anja Hennemuth | Steffen Oeltze-Jafra | S. Miller | B. Klumpp | H. Peitgen | O. Friman | A. Hennemuth | S. Oeltze-Jafra | B. Klumpp | A. Seeger | S. Miller
[1] Richard D. White,et al. Registration of 3D CT angiography and cardiac MR images in coronary artery disease patients , 2003, The International Journal of Cardiovascular Imaging.
[2] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..
[3] Eckart Fleck,et al. Dobutamine induced myocardial perfusion reserve index with cardiovascular MR in patients with coronary artery disease. , 2002, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.
[4] P. Kellman,et al. Quantitative myocardial infarction on delayed enhancement MRI. Part I: Animal validation of an automated feature analysis and combined thresholding infarct sizing algorithm , 2006, Journal of magnetic resonance imaging : JMRI.
[5] Alessandro Pingitore,et al. A fast and effective method to assess myocardial necrosis by means of contrast magnetic resonance imaging. , 2005, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.
[6] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[7] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[8] Luigi Landini,et al. Automatic Characterization of Myocardial Perfusion in Contrast Enhanced MRI , 2003, EURASIP J. Adv. Signal Process..
[9] Hildur Ólafsdóttir,et al. Unsupervised motion-compensation of multi-slice cardiac perfusion MRI , 2005, Medical Image Anal..
[10] C. Higgins,et al. Magnetic Resonance Characterization of the Peri-Infarction Zone of Reperfused Myocardial Infarction With Necrosis-Specific and Extracellular Nonspecific Contrast Media , 2001, Circulation.
[11] José M. F. Moura,et al. Contrast-Invariant Registration of Cardiac and Renal MR Perfusion Images , 2004, MICCAI.
[12] Bernhard Preim,et al. Analysis of vasculature for liver surgical planning , 2002, IEEE Transactions on Medical Imaging.
[13] M. Jerosch-Herold,et al. An approach to the three-dimensional display of left ventricular function and viability using MRI , 2003, The International Journal of Cardiovascular Imaging.
[14] C. Higgins,et al. Measurement of the distribution volume of gadopentetate dimeglumine at echo-planar MR imaging to quantify myocardial infarction: comparison with 99mTc-DTPA autoradiography in rats. , 1999, Radiology.
[15] D De Marchi,et al. Myocardial perfusion by first pass contrast magnetic resonance: a robust method for quantitative regional assessment of perfusion reserve index , 2006, Heart.
[16] Marcel Breeuwer,et al. Automatic myocardium segmentation in late-enhancement MRI , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[17] Andrew E Arai,et al. Fast method for correcting image misregistration due to organ motion in time‐series MRI data , 2003, Magnetic resonance in medicine.
[18] T. Boskamp,et al. New vessel analysis tool for morphometric quantification and visualization of vessels in CT and MR imaging data sets. , 2004, Radiographics : a review publication of the Radiological Society of North America, Inc.
[19] Juan Angel,et al. Correspondence between left ventricular 17 myocardial segments and coronary arteries. , 2005, European heart journal.
[20] Heinz-Otto Peitgen,et al. Efficient Semiautomatic Segmentation of 3D Objects in Medical Images , 2000, MICCAI.
[21] Francis K. H. Quek,et al. Vessel extraction in medical images by wave-propagation and traceback , 2001, IEEE Transactions on Medical Imaging.
[22] A. Hennemuth,et al. Automatic Detection and Quantification of Non-Viable Myocardium in Late Enhancement Images , 2008 .
[23] A. Hennemuth,et al. A Rician-Gaussian Mixture Model for Segmenting Delayed Enhancement MRI Images , 2008 .
[24] Richard D. White,et al. Coregistered MR imaging myocardial viability maps and multi-detector row CT coronary angiography displays for surgical revascularization planning: initial experience. , 2005, Radiology.
[25] M. Cerqueira,et al. 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 , 2002, The international journal of cardiovascular imaging.
[26] Max A. Viergever,et al. Mutual-information-based registration of medical images: a survey , 2003, IEEE Transactions on Medical Imaging.
[27] P. Radeva,et al. Correction of Misalignment Artifacts Among 2-D Cardiac MR Images in 3-D Space , 2006 .
[28] Stefan Wesarg,et al. Segmentation of vessels: the corkscrew algorithm , 2004, SPIE Medical Imaging.
[29] C. Starmer,et al. Indicator Transit Time Considered as a Gamma Variate , 1964, Circulation research.
[30] Reimer Ka,et al. The "wavefront phenomenon" of myocardial ischemic cell death. II. Transmural progression of necrosis within the framework of ischemic bed size (myocardium at risk) and collateral flow. , 1979 .
[31] R. Jennings,et al. The "wavefront phenomenon" of myocardial ischemic cell death. II. Transmural progression of necrosis within the framework of ischemic bed size (myocardium at risk) and collateral flow. , 1979, Laboratory investigation; a journal of technical methods and pathology.
[32] Ning Xu,et al. Semi-automatic segmentation of nonviable cardiac tissue using cine and delayed enhancement magnetic resonance images , 2003, SPIE Medical Imaging.
[33] Alessandro Pingitore,et al. Quantitative 3D assessment of myocardial viability with MRI delayed contrast enhancement , 2003, Computers in Cardiology, 2003.
[34] Hugues Talbot,et al. Directional Morphological Filtering , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[35] R. Kim,et al. Transmural Extent of Acute Myocardial Infarction Predicts Long-Term Improvement in Contractile Function , 2001, Circulation.
[36] C. Higgins,et al. Reperfused rat myocardium subjected to various durations of ischemia: estimation of the distribution volume of contrast material with echo-planar MR imaging. , 2000, Radiology.
[37] Isabelle E. Magnin,et al. A Deformable Vessel Model with Single Point Initialization for Segmentation, Quantification and Visualization of Blood Vessels in 3D MRA , 2000, MICCAI.
[38] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[39] 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.
[40] Cristian Lorenz,et al. Simultaneous segmentation and tree reconstruction of the coronary arteries in MSCT images , 2003, SPIE Medical Imaging.
[41] W. Stevenson,et al. Characterization of the Peri-Infarct Zone by Contrast-Enhanced Cardiac Magnetic Resonance Imaging Is a Powerful Predictor of Post–Myocardial Infarction Mortality , 2006, Circulation.
[42] Edward V. R. Di Bella,et al. Time Curve Analysis Techniques for Dynamic Contrast MRI Studies , 2001, IPMI.
[43] Pierre Croisille,et al. Automatic Registration of MR First-Pass Myocardial Perfusion Images , 2003, FIMH.
[44] L G Futterman,et al. Hibernating myocardium, stunning, ischemic preconditioning: clinical relevance. , 2000, American journal of critical care : an official publication, American Association of Critical-Care Nurses.
[45] Gregg E. Trahey,et al. Automatic Image Registration for MR and Ultrasound Cardiac Images , 2001, IPMI.
[46] Kecheng Liu,et al. A review on MR vascular image processing algorithms: acquisition and prefiltering: part I , 2002, IEEE Transactions on Information Technology in Biomedicine.
[47] Francoise Preteux,et al. An unsupervised approach for measuring myocardial perfusion in MR image sequences , 2005, SPIE Optics + Photonics.
[48] R. Nesto,et al. The ischemic cascade: temporal sequence of hemodynamic, electrocardiographic and symptomatic expressions of ischemia. , 1987, The American journal of cardiology.
[49] Marcel Breeuwer,et al. The Automatic Identification of Hibernating Myocardium , 2004, MICCAI.
[50] Heinz-Otto Peitgen,et al. One-click coronary tree segmentation in CT angiographic images , 2005 .
[51] Aaron Fenster,et al. Registration of two‐dimensional cardiac images to preprocedural three‐dimensional images for interventional applications , 2005, Journal of magnetic resonance imaging : JMRI.
[52] H. Gudbjartsson,et al. The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.
[53] Robin M Heidemann,et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.
[54] Ravi Bansal,et al. Integrated Image Registration for Cardiac MR Perfusion Data , 2002, MICCAI.
[55] E. Zerhouni,et al. Quantification of and Correction for Left Ventricular Systolic Long‐Axis Shortening by Magnetic Resonance Tissue Tagging and Slice Isolation , 1991, Circulation.
[56] Paramate Horkaew,et al. Intra‐ and interstudy reproducibility of coronary artery diameter measurements in magnetic resonance coronary angiography , 2004, Journal of magnetic resonance imaging : JMRI.
[57] Alejandro F. Frangi,et al. Model-based quantitation of 3-D magnetic resonance angiographic images , 1999, IEEE Transactions on Medical Imaging.
[58] Luuk J. Spreeuwers,et al. Automatic quantitative analysis of cardiac MR perfusion images , 2001, SPIE Medical Imaging.
[59] Marcel Breeuwer,et al. Automatic Detection of Myocardial Boundaries in MR Cardio Perfusion Images , 2001, MICCAI.
[60] Marcel Breeuwer,et al. The detection of normal, ischemic and infarcted myocardial tissue using MRI , 2003, CARS.
[61] M Thelen,et al. [Evaluation of myocardial perfusion reserve in patients with CAD using contrast-enhanced MRI: a comparison between semiquantitative and quantitative methods]. , 2002, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.
[62] Jürgen Meyer,et al. Bestimmung der myokardialen Perfusionsreserve bei KHK-Patienten mit der kontrastmittelverstärkten MRT: Ein Vergleich zwischen semiquantitativer und quantitativer Auswertung , 2002 .
[63] Jyrki Lötjönen,et al. Correction of Movement Artifacts from 4-D Cardiac Short and Long-Axis MR Data , 2004, MICCAI.
[64] Alejandro F. Frangi,et al. Muliscale Vessel Enhancement Filtering , 1998, MICCAI.
[65] J Valk,et al. Semiquantitation of regional myocardial blood flow in normal human subjects by first-pass magnetic resonance imaging. , 1995, American heart journal.
[66] Richard D. White,et al. Segmentation of non-viable myocardium in delayed enhancement magnetic resonance images , 2005, The International Journal of Cardiovascular Imaging.
[67] 築地 美和子,et al. Peri-infarct ischemia determined by cardiovascular magnetic resonance evaluation of myocardial viability and stress perfusion predicts future cardiovascular events in patients with severe ischemic cardiomyopathy , 2008 .
[68] J. Ashley,et al. Curve-fitting in pharmacokinetics — A comparison between gamma-and biexponential fits , 2004, European Journal of Clinical Pharmacology.
[69] Hildur Ólafsdóttir,et al. Ischemic segment detection using the support vector domain description , 2007, SPIE Medical Imaging.
[70] Juerg Schwitter,et al. Myocardial perfusion , 2006, Journal of magnetic resonance imaging : JMRI.
[71] E Fleck,et al. [Comparison of various parameters for determining an index of myocardial perfusion reserve in detecting coronary stenosis with cardiovascular magnetic resonance tomography]. , 2001, Zeitschrift fur Kardiologie.
[72] Brian B. Avants,et al. An Adaptive Minimal Path Generation Technique for Vessel Tracking in CTA/CE-MRA Volume Images , 2000, MICCAI.
[73] L. Bidaut,et al. Automated registration of dynamic MR images for the quantification of myocardial perfusion , 2001, Journal of magnetic resonance imaging : JMRI.
[74] O. Simonetti,et al. Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. , 1999, Circulation.
[75] O. Simonetti,et al. Limits of Detection of Regional Differences in Vasodilated Flow in Viable Myocardium by First-Pass Magnetic Resonance Perfusion Imaging , 2001, Circulation.
[76] Heinz Handels,et al. Analysis of the Left Ventricle After Myocardial Infarction Combining 4D Cine-MR and 3D DE-MR Image Sequences , 2006, Bildverarbeitung für die Medizin.
[77] Francoise Preteux,et al. Region-driven statistical nonrigid registration: application to model-based segmentation and tracking of the heart in perfusion MRI , 2005, SPIE Optics + Photonics.
[78] Colin Studholme,et al. An overlap invariant entropy measure of 3D medical image alignment , 1999, Pattern Recognit..