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

1. Advanced coronary artery imaging: optical coherence tomography Damian Valencia, Juan Linares, Zachary Gilbert, Ryan Stuart, Olusola Adekoya, Brian Schwartz, Oscar Valencia and Rosaria Jordan
2. Technique of cardiac magnetic resonance imaging Ahmed Abdel Khalek Abdel Razek, Dalia Fahmy and Germeen Albair Ashmalla
3. The role of automated 12-lead ECG interpretation in the diagnosis and risk stratification of cardiovascular disease Salah S. Al-Zaiti, Ziad Faramand, Khaled Rjoob, Dewar Finlay and Raymond Bond
4. Extracting heterogeneous vessels in X-ray coronary angiography via machine learning Binjie Qin, Mingxin Jin and Song Ding
5. Assessing coronary artery disease using coronary computed tomography angiography Mina M. Benjamin, Marco Shaker and Mark G. Rabbat
6. Multimodality noninvasive cardiovascular imaging for the evaluation of coronary artery disease Chris Anthony, Reza Reyaldeen and Bo Xu
7. Magnetic resonance imaging of ischemic heart disease Ahmed Abdel Khalek Abdel Razek, Dalia Fahmy and Germeen Albair Ashmalla
8. CT angiography of anomalous pulmonary veins Ahmed Abdel Khalek Abdel Razek, Maha Elmansy, Mahmoud Abd El-Latif and Hala Al-Marsafawy
9. Machine learning to predict mortality risk in coronary artery bypass surgery Michael P. Rogers and Paul C. Kuo
10. Computed tomography angiography of congenital anomalies of pulmonary artery Ahmed Abdel Khalek Abdel Razek, Maha Elmansy, Mahmoud Abd El-Latif and Hala Al-Marsafawy
11. Obstructive coronary artery disease diagnostics: machine learning approach for an effective preselection of patientss Mateusz Krysinski, Malgorzata Majocha and Ewaryst Tkacz
12. Heart disease prediction using convolutional neural network Ajay Sharma, Tarun Pal and Varun Jaiswal
13. Gene polymorphism and the risk of coronary artery disease Gowtham Kumar Subbaraj, Sindhu Varghese, Langeswaran Kulanthaivel, Lakshmi Alagarsamy,Sangeetha Rajaram and Sangeetha Ramanathan
14. Role of optical coherence tomography in borderline coronary lesions Jit Brahmbhatt, Roopesh Singhal and Zeeshan Mansuri