Cardiovascular and Coronary Artery Imaging Volume 2 1st Edition by Ayman El Baz, Jasjit Suri ISBN 0128227052 9780128227053

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ISBN 10: 0128227052

ISBN 13: 978-0128227053

Author:  Ayman S. El-Baz, Jasjit S. Suri 

Cardiovascular and Coronary Artery Imaging Volume 2 1st Edition: 

Cardiovascular and Coronary Artery Imaging Volume 2 1st Edition Table of contents:

Chapter 1. Predictors of Outcome in ST-Segment Elevation Myocardial Infarction

• Abstract
  1.1 Clinical Predictors
  1.2 Brain Natriuretic Peptide
  1.3 Differential White Blood Cell Count
• References

Chapter 2. ST-Segment Elevation Myocardial Infarction

• Abstract
  2.1 Definition
  2.2 Epidemiology of ST Elevation Myocardial Infarction
  2.3 Etiology
  2.4 Pathophysiology
  2.5 Management
  2.6 Prevention
  2.7 Complications
  2.8 Prognosis
  2.9 Conclusion
• References

Chapter 3. The Effect of Patient-Centered Education in Adherence to the Treatment Regimen in Patients with Coronary Artery Disease

• Abstract
  3.1 Introduction
  3.2 Methods
  3.3 Findings
  3.4 Discussion
  3.5 Limitations
  3.6 Conclusion
• References

Chapter 4. Artificial Intelligence in Cardiovascular Imaging

• Abstract
  4.1 Introduction
  4.2 Artificial Intelligence
  4.3 Cardiovascular Imaging with Machine Learning
  4.4 Cardiovascular Imaging with Deep Learning
  4.5 Discussion
  4.6 Summary
• References

Chapter 5. Valvular Assessment and Flow Quantification

• Abstract
  5.1 Introduction
  5.2 Techniques
  5.3 Individual Valvular Assessment
  5.4 Recent Techniques
• References

Chapter 6. Software-Based Analysis for Computed Tomography Coronary Angiography: Current Status and Future Aspects

• Abstract
  6.1 Introduction
  6.2 Coronary Artery Calcification Measurement
  6.3 Software-Based Plaque Analysis
  6.4 Quantitative Analysis for Obstructive Coronary Artery
  6.5 Computational Fluid Dynamics
  6.6 Anatomical 2D Bull’s Eye Display
  6.7 Territorial Analysis with Voronoi Diagram
  6.8 Nobel Analysis for Computed Tomography Angiography
  6.9 Computed Tomography Myocardial Perfusion Imaging
  6.10 The Analysis of Dynamic Images by Motion Coherence Technique
  6.11 Closing Remarks
• References
• Further Reading

Chapter 7. Medical Image Analysis for the Early Prediction of Hypertension

• Abstract
  7.1 Introduction
  7.2 Methodology
  7.3 Experimental Results
  7.4 Discussion
  7.5 Conclusion and Future Work
• References

Chapter 8. Left Ventricle Segmentation and Quantification Using Deep Learning

• Abstract
  8.1 Heart: Anatomy, Function, and Diseases
  8.2 Left Ventricle Segmentation and Quantification
  8.3 Related Work on Left Ventricle Segmentation and Quantification
  8.4 Methods
  8.5 Cardiac Segmentation
  8.6 Experimental Results
  8.7 Discussion
• References

Chapter 9. Cardiac Magnetic Resonance Imaging of Cardiomyopathy

• Abstract
  9.1 Introduction
  9.2 Iron Overload Cardiomyopathy
  9.3 Idiopathic Dilated Cardiomyopathy
  9.4 Hypertrophic Cardiomyopathy
  9.5 Sarcoidosis
  9.6 Myocarditis
  9.7 Amyloidosis
  9.8 Left Ventricle Noncompaction
  9.9 Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy
  9.10 Stress-Induced (Takotsubo) Cardiomyopathy
  9.11 Fabry Disease
  9.12 Muscular Dystrophy
• References

Chapter 10. Magnetic Resonance Imaging of Pericardial Diseases

• Abstract
  10.1 Introduction
  10.2 Normal Pericardium
  10.3 Pericarditis
  10.4 Pericardial Effusion
  10.5 Pericardial Hematoma
  10.6 Cardiac Tamponade
  10.7 Pericardial Constriction
  10.8 Pericardial Neoplasms
  10.9 Pericardial Cyst and Diverticulum
  10.10 Congenital Absence of Pericardium
  10.11 Pericardial Diaphragmatic Hernia
  10.12 Extracardiac Lesions
• References

Chapter 11. Imaging Modalities for Congenital Heart Disease and Genetic Polymorphism Associated with Coronary Artery and Cardiovascular Diseases

• Abstract
  11.1 Introduction
  11.2 Sources of Information and Search
  11.3 Study Selection
  11.4 Diet and Cardiovascular Disease Risk
  11.5 High-Density Lipoprotein Cholesterol
  11.6 Low-Density Lipoprotein Cholesterol
  11.7 Triglycerides
  11.8 Inherited Genetic Susceptibility
  11.9 Imaging Strategy and Techniques
  11.10 Plain Radiography
  11.11 Echocardiography
  11.12 Computed Tomography
  11.13 Methodology
  11.14 Results and Discussion
  11.15 Results and Discussion of SMARCA4 Gene Polymorphism
  11.16 Conclusion

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