Deformable Registration Techniques for Thoracic CT Images: An Insight into Medical Image Registration - Hardcover

This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in inter- and intra-patient scenarios. It discusses the use of image registration processes to remove the inconsistencies related to the condition of medical images acquired using different devices. In the field of comparative research and medical analysis, these methods are of immense value in image registration procedures not just for thoracic CT images, but for all varieties of medical images in multiple modalities, and also in establishing a mean respiration motion model. Used with advanced techniques the proposed methods have the potential to further the field of computer vision and help improve existing methods. The book is a valuable resource for those in the scientific community involved in modeling respiratory motion for a large number of people.

Ali Imam Abidi has a Ph.D. from the Department of Computer Science and Engineering, Indian Institute of Technology Banaras Hindu University (IIT BHU), Varanasi, India. He has published numerous articles, conference proceedings and book chapters. After completing his B.Tech. at Uttar Pradesh Technical University (UPTU) in 2008, he worked for Fortune 500 companies like Infosys and IBM from 2008 to 2010. He has worked as a user experience/user interface (UX/UI) designer at the National Institute of Design, Ahmedabad, India―a premier design institute in India. His primary areas of research are deformable image registration and computer vision, as well as the study and applications of behavioural design concepts.