Cardiovascular and Coronary Artery Imaging

Volume 1

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

• Publisher: Academic Press
• Year: 2021
• Print ISBN:
  9780128227060
• eBook ISBN:
  9780128227077
• Topic: Computer Science
• Subtopic: Digital Media
• Index: Computer Science

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. - Takes an integrated approach to cardiovascular and coronary imaging, covering machine learning, deep learning and reinforcement learning approaches - Covers state-of-the-art approaches for automated non-invasive systems for early cardiovascular disease diagnosis - Provides a perspective on future cardiovascular imaging and highlights areas that still need improvement

Table of contents

• Cover
• Title page
• Table of Contents
• Copyright
• Contents
• List of contributors
• List of Illustrations
• List of Tables
• Chapter 1 : Advanced coronary artery imaging: optical coherence tomography
• Chapter 2 : Technique of cardiac magnetic resonance imaging
• Chapter 3 : The role of automated 12-lead ECG interpretation in the diagnosis and risk stratification of cardiovascular disease
• Chapter 4 : Extracting heterogeneous vessels in X-ray coronary angiography via machine learning
• Chapter 5 : Assessing coronary artery disease using coronary computed tomography angiography
• Chapter 6 : Multimodality noninvasive cardiovascular imaging for the evaluation of coronary artery disease
• Chapter 7 : Magnetic resonance imaging of ischemic heart disease
• Chapter 8 : CT angiography of anomalous pulmonary veins
• Chapter 9 : Machine learning to predict mortality risk in coronary artery bypass surgery
• Chapter 10 : Computed tomography angiography of congenital anomalies of pulmonary artery
• Chapter 11 : Obstructive coronary artery disease diagnostics: machine learning approach for an effective preselection of patients
• Chapter 12 : Heart disease prediction using convolutional neural network
• Chapter 13 : Gene polymorphism and the risk of coronary artery disease
• Chapter 14 : Role of optical coherence tomography in borderline coronary lesions
• Index
• A