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Parametric and Nonparametric Techniques in Medical Image De-noising and Restoration
- 1st Edition - December 1, 2099
- Authors: Amira S. Ashour, Nilanjan Dey
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 8 9 8 1 8 - 8
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 9 8 1 9 - 5
Despite advancements in medical imaging modalities, build-up of noise and distortion is still an issue faced by users of medical imaging technology. Consequently, de-noising… Read more
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Request a sales quoteDespite advancements in medical imaging modalities, build-up of noise and distortion is still an issue faced by users of medical imaging technology. Consequently, de-noising procedures are developed to preserve the quality of the textured image by removing the noise encountered. Parametric and Nonparametric Techniques in Medical Image De-noising and Restoration explores the different medical image de-noising techniques for medical image quality enhancement. It introduces soft computing and optimization techniques and reports on the challenges of medical image denoising, also highlighting artifacts and noise sources in different imaging modalities and discussing performance evaluation metrics. This is a key reference for anyone involved in medical imaging who is looking to learn about both the parametric and non-parametric approaches available and apply them to their own work and research.
- Explores the types of denoising and restoration with different noise sources of each medical modality
- Emphasizes the different approaches of denoising and restoration, including parametric and nonparametric techniques
- Provides applied examples of medical image denoising
Early career researchers, students, and those learning about a new area for an interdisciplinary project in medical imaging, biomedical engineering, medical devices, and related fields
Chapter 1: Introduction1.1. Medical imaging modalities1.2. Sources of noise in medical modalities1.3. Types of noise and artefacts1.4 Concept of medical image enhancement1.1.1 Medical image denoising1.1.2 Medical image restoration
Chapter 2: Parametric Denoising Approaches2.1. Concept of parametric approaches2.2. Wavelet-based medical image denoising and restoration2.3. Different parametric approaches for image enhancement2.4. Drawbacks of parametric methods
Chapter 3: Nonparametric Denoising and Restoration Approaches3.1. Standard kernel regression technique3.2. Local polynomial kernel regression3.3. Steering kernel Regression3.4. Adaptive nonparametric approaches
Chapter 4: Comparative Study between Parametric, Multi-Paramedic, and Nonparametric Procedures
Chapter 5: Medical Images Denoising and Restoration Applications
Chapter 6: Challenges and Future Perspectives
Chapter 7: Conclusion
- No. of pages: 160
- Language: English
- Edition: 1
- Published: December 1, 2099
- Imprint: Academic Press
- Paperback ISBN: 9780323898188
- eBook ISBN: 9780323898195
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Amira S. Ashour
Amira S. Ashour is an Assistant Professor and Head of Electronics and Electrical Communications Engineering Department, Faculty of Engineering, Tanta University, Egypt. She is a member in the Research and Development Unit, Faculty of Engineering, Tanta University, Egypt. She received the B.Eng. degree in Electrical Engineering from Faculty of Engineering, Tanta University, Egypt in 1997, M.Sc. in Image Processing in 2001 and Ph.D. in Smart Antenna in 2005 from Faculty of Engineering, Tanta University, Egypt. Ashour has been the Vice Chair of Computer Engineering Department, Computers and Information Technology College, Taif University, KSA for one year from 2015. She has been the vice chair of CS department, CIT college, Taif University, KSA for 5 years. Her research interests are Smart antenna, Direction of arrival estimation, Targets tracking, Image processing, Medical imaging, Machine learning, Biomedical Systems, Pattern recognition, Image analysis, Computer vision, Computer-aided detection and diagnosis systems, Optimization, and Neutrosophic theory. She has 15 books and about 150 published journal papers. She is an Editor-in-Chief for the International Journal of Synthetic Emotions (IJSE), IGI Global, US.
Affiliations and expertise
Assistant Professor and Head of Electronics and Electrical Communications Engineering Department, Faculty of Engineering, Tanta University, EgyptND
Nilanjan Dey
Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.
He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.
Affiliations and expertise
Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, India; Visiting Fellow , University of Reading, UK