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Deformable Registration Techniques for Thoracic CT Images
Details
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
Helps the scientific community model respiratory motion for a large number of people Presents a universal baseline that will attract more and more datasets and findings from around the globe Serves as a common repository of related research Discusses the process of image registration to remove the inconsistencies between 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.
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789811058363
- Genre Information Technology
- Lesemotiv Verstehen
- Anzahl Seiten 135
- Größe H243mm x B158mm x T13mm
- Jahr 2020
- EAN 9789811058363
- Format Fester Einband
- ISBN 978-981-10-5836-3
- Titel Deformable Registration Techniques for Thoracic CT Images
- Autor Ali Imam Abidi , S.K Singh
- Untertitel An Insight into Medical Image Registration
- Gewicht 384g
- Herausgeber Springer
- Sprache Englisch