Cardiovascular and Coronary Artery Imaging

Volume 2

1st Edition - November 22, 2022
Editors: Ayman S. El-Baz, Jasjit S. Suri
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 1 9 8 3 - 6
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 2 2 7 0 5 - 3

Cardiovascular and Coronary Artery Imaging, Volume Two presents the basics of echocardiography, nuclear imaging and magnetic resonance imaging (MRI) and provides insights into t… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
Dedication
List of Contributors
About the editors
Acknowledgments
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
Author contributions
References
Index

Ayman S. El-Baz

Dr. El-Baz is a Professor, University Scholar, and Chair of the Bioengineering Department at the University of Louisville, KY. Dr. El-Baz earned his bachelor's and master’s degrees in Electrical Engineering in 1997 and 2001, respectively. He earned his doctoral degree in electrical engineering from the University of Louisville in 2006. In 2009, Dr. El-Baz was named a Coulter Fellow for his contributions to the field of biomedical translational research. Dr. El-Baz has 15 years of hands-on experience in the fields of bio-imaging modeling and non-invasive computer-assisted diagnosis systems. He has authored or coauthored more than 450 technical articles (105 journals, 15 books, 50 book chapters, 175 refereed-conference papers, 100 abstracts, and 15 US patents).

Affiliations and expertise

University of Louisville, USA

Jasjit S. Suri

Dr. Jasjit Suri, PhD, MBA, is an innovator, visionary, scientist, and internationally known world leader. Dr Suri received the Director General’s Gold medal in 1980 and Fellow of (i) American Institute of Medical and Biological Engineering, awarded by the National Academy of Sciences, Washington DC, (ii) Institute of Electrical and Electronics Engineers, (iii) American Institute of Ultrasound in Medicine, (iv) Society of Vascular Medicine, (v) Asia Pacific Vascular Society, and (vi) Asia Association of Artificial Intelligence. Dr. Suri was honored with life time achievement awards by Marcus, NJ, USA and Graphics Era University, Dehradun, India. He has published nearly 300 peer-reviewed Artificial Intelligence articles, nearly 2000 Google Scholar Publications, 100 books, and 100 innovations/trademarks leading to an H-index of nearly 100 with about 43,000 citations. He has held positions as chairman of AtheroPoint, CA, USA, IEEE Denver section, Colorado, USA, and advisory board member to healthcare industries and several universities in the United States of America and abroad.

Affiliations and expertise

Chairman, AtheroPoint LLC, USA

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

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