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

chapter 1|22 pages

Detection of Cerebrovascular Changes Using Magnetic Resonance Angiography

ByYitzhak Gebru, Guruprasad Giridharan, Mohammed Ghazal, Ali Mahmoud, Ahmed Shalaby, Ayman El-Baz

chapter 2|20 pages

Segmentation of Blood Vessels Using Magnetic Resonance Angiography Images

ByAhmed Shalaby, Ali Mahmoud, Mohammed Ghazal, Jasjit S. Suri, Ayman El-Baz

chapter 3|28 pages

Vascular Tree Segmentation from Different Image Modalities

ByAli Mahmoud, Ahmed Shalaby, Fatma Taher, Maryam El-Baz, Jasjit S. Suri, Ayman El-Baz

chapter 4|24 pages

Accurate Unsupervised 3D Segmentation of Blood Vessels Using Magnetic Resonance Angiography

ByAhmed Shalaby, Ali Mahmoud, Samineh Mesbah, Maryam El-Baz, Jasjit S. Suri, Ayman El-Baz

chapter 5|14 pages

An Unsupervised Parametric Mixture Model for Automatic Cerebrovascular Segmentation

ByMohammed Ghazal, Yasmina Al Khalil, Ayman El-Baz

chapter 6|22 pages

Left Atrial Scarring Segmentation from Delayed-Enhancement Cardiac MRI Images: A Deep Learning Approach

ByGuang Yang, Xiahai Zhuang, Habib Khan, Eva Nyktari, Shouvik Haldar, Lei Li, Rick Wage, Xujiong Ye, Greg Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David Firmin

chapter 8|20 pages

Automatic Segmentation of Cardiac Substructures for Radiation Oncology Applications

ByJinzhong Yang, Rongrong Zhou, Yangkun Luo, Zhongxing Liao

chapter 9|24 pages

Detection of Calcification from Abdominal Aortic Aneurysm

BySafa Salahat, Ahmed Soliman, Harish Bhaskar, Tim McGloughlin, Ayman El-Baz, Naoufel Werghi

chapter 10|30 pages

Hermite-Based Deformable Models for Cardiac Image Segmentation

ByJimena Olveres, Erik Carbajal-Degante, Boris Escalante-Ramírez, Leiner Barba-J, Lorena Vargas-Quintero, Enrique Vallejo Venegas, Lisbeth Camargo Marín, Mario Guzmán Huerta

chapter 11|26 pages

Cardiovascular Imaging for Early Detection of Coronary Artery Disease

ByGiorgos Papanastasiou, George Markousis-Mavrogenis, Sophie I. Mavrogeni

chapter 12|30 pages

The State-of-the-Art Echocardiography and Its Viewpoint Classifications

ByXiaohong W. Gao, Wei Li, Martin Loomes, Yu Qian, Qiang Lin, Liqin Huang, Lianyi Wang

chapter 13|24 pages

Sensor-Enabled 3D Printed Tissue-Mimicking Phantoms: Application in Pre-Procedural Planning for Transcatheter Aortic Valve Replacement

ByKan Wang, Chuck Zhang, Ben Wang, Mani A Vannan, Zhen Qian

chapter 14|14 pages

Cardiac Fiber Imaging with 3D Ultrasound and MR Diffusion Tensor Imaging

ByXulei Qin, Baowei Fei

chapter 15|24 pages

Technical Advances and Clinical Perspectives in Coronary MR Imaging

ByGiulia Ginami, Imran Rashid, René M. Botnar, Claudia Prieto

chapter 16|20 pages

Hypertension and Correlation to Cerebrovascular Change: A Brief Overview

ByHeba Kandil, Dawn Sosnin, Ali Mahmoud, Ahmed Shalaby, Ahmed Soliman, Adel Elmaghraby, Jasjit S. Suri, Guruprasad Giridharan, Ayman El-Baz

chapter 17|20 pages

Predicting the Biomechanics of the Aorta Using Ultrasound

ByMansour AlOmran, Alexander Emmott, Richard L. Leask, Kevin Lachapelle

chapter 18|34 pages

Deep Convolutional Networks for Automated Volumetric Cardiovascular Image Segmentation: From a Design Perspective

ByXin Yang, Lequan Yu, Qi Dou, Jing Qin, Pheng-Ann Heng