Cardiovascular and Coronary Artery Imaging, Volume Two presents the basics of echocardiography, nuclear imaging and magnetic resonance imaging (MRI) and provides insights into their appropriate use. The book covers state-of-the-art approaches for automated non-invasive systems for early cardiovascular and coronary artery disease diagnosis. It includes several prominent imaging modalities such as MRI, CT and PET technologies. Other sections focus on major trends and challenges in this area and present the latest techniques for cardiovascular and coronary image analysis.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. List of Contributors - p. xv 8. About the editors - p. xix 9. Acknowledgments - p. xxi 10. Chapter 1. Predictors of outcome in ST-segment elevation myocardial infarction - p. 1 11. Chapter 2. ST-segment elevation myocardial infarction - p. 13 12. Chapter 3. The effect of patient-centered education in adherence to the treatment regimen in patients with coronary artery disease - p. 35 13. Chapter 4. Artificial intelligence in cardiovascular imaging - p. 51 14. Chapter 5. Valvular assessment and flow quantification - p. 73 15. Chapter 6. Software-based analysis for computed tomography coronary angiography: current status and future aspects - p. 81 16. Chapter 7. Medical image analysis for the early prediction of hypertension - p. 101 17. Chapter 8. Left ventricle segmentation and quantification using deep learning - p. 113 18. Chapter 9. Cardiac magnetic resonance imaging of cardiomyopathy - p. 149 19. Chapter 10. Magnetic resonance imaging of pericardial diseases - p. 159 20. Chapter 11. Imaging modalities for congenital heart disease and genetic polymorphism associated with coronary artery and cardiovascular diseases - p. 169 21. Index - p. 205
Cardiovascular and Coronary Artery Imaging, Volume Two presents the basics of echocardiography, nuclear imaging and magnetic resonance imaging (MRI) and provides insights into their appropriate use. The book covers state-of-the-art approaches for automated non-invasive systems for early cardiovascular and coronary artery disease diagnosis. It includes several prominent imaging modalities such as MRI, CT and PET technologies. Other sections focus on major trends and challenges in this area and present the latest techniques for cardiovascular and coronary image analysis.
1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. List of Contributors - p. xv 8. About the editors - p. xix 9. Acknowledgments - p. xxi 10. Chapter 1. Predictors of outcome in ST-segment elevation myocardial infarction - p. 1 11. Chapter 2. ST-segment elevation myocardial infarction - p. 13 12. Chapter 3. The effect of patient-centered education in adherence to the treatment regimen in patients with coronary artery disease - p. 35 13. Chapter 4. Artificial intelligence in cardiovascular imaging - p. 51 14. Chapter 5. Valvular assessment and flow quantification - p. 73 15. Chapter 6. Software-based analysis for computed tomography coronary angiography: current status and future aspects - p. 81 16. Chapter 7. Medical image analysis for the early prediction of hypertension - p. 101 17. Chapter 8. Left ventricle segmentation and quantification using deep learning - p. 113 18. Chapter 9. Cardiac magnetic resonance imaging of cardiomyopathy - p. 149 19. Chapter 10. Magnetic resonance imaging of pericardial diseases - p. 159 20. Chapter 11. Imaging modalities for congenital heart disease and genetic polymorphism associated with coronary artery and cardiovascular diseases - p. 169 21. Index - p. 205
