Deformable Registration Techniques for Thoracic CT Images (eBook)

This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using different devices. In the context 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 types of medical images in multiple modalities, and also in establishing a mean respiration motion model. Combined with advanced techniques, the methods proposed have the potential to advance 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. 

Prof. Sanjay Kumar Singh holds a B.Tech. in Computer Engineering, M.Tech. in Computer Applications and a Ph.D. in Computer Science and Engineering. Currently, he is a Professor at the Department of Computer Science and Engineering, Indian Institute of Technology, Banaras Hindu University (IIT-BHU), Varanasi, India, and is also a Certified Novell Engineer Administrator. He is a member of LIMSTE, the Institute of Electrical and Electronics Engineers (IEEE), the International Association of Engineers (IAENG) and the International Center of Sustainable Excellence (ISCE). His research areas include biometrics, computer vision, image processing, video processing, pattern recognition and artificial intelligence. He has published over 50 articles in national and international journals, as well as book chapters and conference papers.

---

This book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using different devices. In the context 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 types of medical images in multiple modalities, and also in establishing a mean respiration motion model. Combined with advanced techniques, the methods proposed have the potential to advance 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.