This book covers the state-of-the-art approaches for automated non-invasive systems for early cardiovascular disease diagnosis. It includes several prominent imaging modalities such as MRI, CT, and PET technologies. There is a special emphasis placed on automated imaging analysis techniques, which are important to biomedical imaging analysis of the cardiovascular system. Novel 4D based approach is a unique characteristic of this product. This is a comprehensive multi-contributed reference work that will detail the latest developments in spatial, temporal, and functional cardiac imaging. The main aim of this book is to help advance scientific research within the broad field of early detection of cardiovascular disease. This book focuses on major trends and challenges in this area, and it presents work aimed to identify new techniques and their use in biomedical image analysis.

Key Features:

• Includes state-of-the art 4D cardiac image analysis
• Explores the aspect of automated segmentation of cardiac CT and MR images utilizing both 3D and 4D techniques
• Provides a novel procedure for improving full-cardiac strain estimation in 3D image appearance characteristics
• Includes extensive references at the end of each chapter to enhance further study

About the Author

Contents

Chapter 1: Detection of Cerebrovascular Changes Using Magnetic Resonance Angiography
Chapter 2: Segmentation of Blood Vessels Using Magnetic Resonance Angiography Images
Chapter 3: Vascular Tree Segmentation from Different Image Modalities
Chapter 4: Accurate Unsupervised 3D Segmentation of Blood Vessels Using Magnetic Resonance Angiography
Chapter 5: An Unsupervised Parametric Mixture Model for Automatic Cerebrovascular Segmentation
Chapter 6: Left Atrial Scarring Segmentation from Delayed-Enhancement Cardiac MRI Images: A Deep Learning Approach
Chapter 7: Cardiovascular Health Informatics Computing Powered by Unobtrusive Sensing Computing,. Medical Image Computingr and Information Fusion Analysis
Chapter 8: Automatic Segmentation of Cardiac Substructures for Radiation Oncology Applications
Chapter 9: Detection of Calcification from Abdominal Aortic Aneurysm
Chapter 10: Hermite-Based Deformable Models for Cardiac Image Segmentation
Chapter 11: Cardiovascular Imaging for Early Detection of Coronary Artery Disease
Chapter 12: The State-of-the-Art Echocardiography and Its Viewpoint Classifications
Chapter 13: Sensor-Enabled 3D Printed Tissue-Mimicking Phantoms: Application in Pre-Procedural Planning for Transcatheter Aortic Valve Replacement
Chapter 14: Cardiac Fiber Imaging with 3D Ultrasound and MR Diffusion Tensor Imaging
Chapter 15: Technical Advances and Clinical Perspectives in Coronary MR Imaging
Chapter 16: Hypertension and Correlation to Cerebrovascular Change: A Brief Overview
Chapter 17: Predicting the Biomechanics of the Aorta Using Ultrasound
Chapter 18: Deep Convolutional Networks for Automated Volumetric Cardiovascular Image Segmentation: From a Design Perspective