Cardiovascular and Coronary Artery Imaging, Volume One covers state-of-the-art approaches for automated non-invasive systems in early cardiovascular disease diagnosis. The book includes several prominent imaging modalities, such as MRI, CT and PET technologies. A special emphasis is placed on automated imaging analysis techniques, which are important to biomedical imaging analysis of the cardiovascular system. This is a comprehensive, multi-contributed reference work that details the latest developments in spatial, temporal and functional cardiac imaging.
1. Cardiovascular and Coronary Artery Imaging - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page vi 7. List of contributors - p. Page vii 8. List of Illustrations - p. Page viii 9. List of Tables - p. Page ix 10. Chapter 1 : Advanced coronary artery imaging: optical coherence tomography - p. Page ix 11. Chapter 2 : Technique of cardiac magnetic resonance imaging - p. Page 27 12. Chapter 3 : The role of automated 12-lead ECG interpretation in the diagnosis and risk stratification of cardiovascular disease - p. Page 41 13. Chapter 4 : Extracting heterogeneous vessels in X-ray coronary angiography via machine learning - p. Page 83 14. Chapter 5 : Assessing coronary artery disease using coronary computed tomography angiography - p. Page 123 15. Chapter 6 : Multimodality noninvasive cardiovascular imaging for the evaluation of coronary artery disease - p. Page 140 16. Chapter 7 : Magnetic resonance imaging of ischemic heart disease - p. Page 165 17. Chapter 8 : CT angiography of anomalous pulmonary veins - p. Page 177 18. Chapter 9 : Machine learning to predict mortality risk in coronary artery bypass surgery - p. Page 190 19. Chapter 10 : Computed tomography angiography of congenital anomalies of pulmonary artery - p. Page 209 20. Chapter 11 : Obstructive coronary artery disease diagnostics: machine learning approach for an effective preselection of patients - p. Page 217 21. Chapter 12 : Heart disease prediction using convolutional neural network - p. Page 242 22. Chapter 13 : Gene polymorphism and the risk of coronary artery disease - p. Page 271 23. Chapter 14 : Role of optical coherence tomography in borderline coronary lesions - p. Page 298 24. Index - p. Page 322
Cardiovascular and Coronary Artery Imaging, Volume One covers state-of-the-art approaches for automated non-invasive systems in early cardiovascular disease diagnosis. The book includes several prominent imaging modalities, such as MRI, CT and PET technologies. A special emphasis is placed on automated imaging analysis techniques, which are important to biomedical imaging analysis of the cardiovascular system. This is a comprehensive, multi-contributed reference work that details the latest developments in spatial, temporal and functional cardiac imaging.
1. Cardiovascular and Coronary Artery Imaging - p. Page i 2. Cover - p. Page i 3. Title page - p. Page ii 4. Table of Contents - p. Page iii 5. Copyright - p. Page iii 6. Contents - p. Page vi 7. List of contributors - p. Page vii 8. List of Illustrations - p. Page viii 9. List of Tables - p. Page ix 10. Chapter 1 : Advanced coronary artery imaging: optical coherence tomography - p. Page ix 11. Chapter 2 : Technique of cardiac magnetic resonance imaging - p. Page 27 12. Chapter 3 : The role of automated 12-lead ECG interpretation in the diagnosis and risk stratification of cardiovascular disease - p. Page 41 13. Chapter 4 : Extracting heterogeneous vessels in X-ray coronary angiography via machine learning - p. Page 83 14. Chapter 5 : Assessing coronary artery disease using coronary computed tomography angiography - p. Page 123 15. Chapter 6 : Multimodality noninvasive cardiovascular imaging for the evaluation of coronary artery disease - p. Page 140 16. Chapter 7 : Magnetic resonance imaging of ischemic heart disease - p. Page 165 17. Chapter 8 : CT angiography of anomalous pulmonary veins - p. Page 177 18. Chapter 9 : Machine learning to predict mortality risk in coronary artery bypass surgery - p. Page 190 19. Chapter 10 : Computed tomography angiography of congenital anomalies of pulmonary artery - p. Page 209 20. Chapter 11 : Obstructive coronary artery disease diagnostics: machine learning approach for an effective preselection of patients - p. Page 217 21. Chapter 12 : Heart disease prediction using convolutional neural network - p. Page 242 22. Chapter 13 : Gene polymorphism and the risk of coronary artery disease - p. Page 271 23. Chapter 14 : Role of optical coherence tomography in borderline coronary lesions - p. Page 298 24. Index - p. Page 322
