Helps the scientific community in modeling respiratory motion for a large number of people

Presents a universal baseline that attracts more and more datasets and their results from all over the world

Serves as a common repository for related research

Discusses the process of image registration in removing the inconsistencies related to the condition of medical images acquired using different devices

Autorentext
Dr. Ali Imam Abidi is an Assistant Professor at the Department of Computer Science & Engineering, School of Engineering & Technology, Sharda University. He received his Ph.D. from the Department of Computer Science and Engineering, Indian Institute of Technology, Banaras Hindu University (IIT-BHU), Varanasi, India. His primary areas of research include (but is not limited to) deformable image registration, image feature data analysis etc. as well as the study and applications of behavioural design concepts. He has published numerous research articles, letters, papers in conference proceedings and book chapters. He has been a constant invited reviewer for reputed journals like MTAP, MBEC, NAS Letters etc
  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.

Klappentext
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. 

Inhalt

Chapter 1. Introduction.- Chapter 2. Theoretical Background.- Chapter 3. A Moving Least Square Based Framework for Thoracic CT Image Registration.- Chapter 4. A Path Tracing and Deformity Estimation Methodology for Registration of Thoracic CT Image Sequences.- Chapter 5. Deformable Thoracic CT Images Sequence Registration using Strain Energy Minimization.- Chapter 6. Conclusion & Future Work.