Biomedical Imaging Technology: Signal Processing Strategies and Innovations

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Ayush Dogra (Chitkara University Institute of Engineering and Technology, Chitkara University, India) Shalli Rani (Chitkara University Institute of Engineering and Technology, Chitkara University, India)

Biomedical Imaging Technology

Signal Processing Strategies and Innovations

Ayush Dogra (Chitkara University Institute of Engineering and Technology, Chitkara University, India), Shalli Rani (Chitkara University Institute of Engineering and Technology, Chitkara University, India), Ankita Sharma (Chitkara University Institute of Engineering and Technology, Chitkara University, India)

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English

Wiley-IEEE Press
20 November 2025

Biomedical engineering; Biotechnology; Communications engineering & telecommunications; Signal processing; Image processing

Explore emerging applications for AI, machine learning, and deep learning in biomedical imaging technologies

In Biomedical Imaging Technology: Signal Processing Strategies and Innovations, a team of distinguished researchers deliver an expert discussion on the application of imaging and signal processing techniques to healthcare technologies like X-ray, MRI, CT, ultrasound, and others. Beginning with an introduction to biomedical imaging, the book goes on to explain more advanced imaging technologies, like molecular and optical imaging.

This book provides a blend of theory and practical applications, exploring the role of AI and AI algorithms in enhancing diagnostic accuracy. It discusses machine and deep learning approaches for improving computer-aided diagnosis systems and the integration of signal processing within various imaging modalities.

Readers will also find:

A thorough introduction to contemporary approaches to optical imaging, including fluorescence imaging, photoacoustic imaging, and Optical Coherence Tomography (OCT) Comprehensive explorations of image-guided interventions, theranostics in cancer treatment, and advancements in surgical navigation Practical discussions of emerging trends in the field and up-and-coming innovations Case studies and practical examples from real-world locations

Perfect for researchers in biomedical engineering, imaging, and signal processing, Biomedical Imaging Technology will also benefit undergraduate and graduate students studying electrical engineering subjects, like biomedical imaging and signal processing.

Edited by: Ayush Dogra (Chitkara University Institute of Engineering and Technology Chitkara University India), Shalli Rani (Chitkara University Institute of Engineering and Technology, Chitkara University, India), Ankita Sharma (Chitkara University Institute of Engineering and Technology, Chitkara University, India)
Imprint: Wiley-IEEE Press
Country of Publication: United States
ISBN: 9781394348053
ISBN 10: 1394348053
Pages: 256
Publication Date: 20 November 2025
Audience: College/higher education , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Forthcoming

Preface xix About the Editors xxi Acknowledgment xxv 1 Historical Evolution and Technological Advancements in Biomedical Imaging 1 2 Deep Learning Techniques for Biomedical Imaging 25 3 Advanced Methods and Approaches in Image Reconstruction 45 4 Integrative Approaches in Image Analysis and Signal Interpretation 73 5 Multimodal Imaging: Combining Molecular and Optical Approaches 95 6 Advancements in Biomedical Imaging Using Fluorescence and Bioluminescence 121 7 Innovative Diagnostic Imaging Techniques and Protocols 145 8 Applications and Clinical Impacts of Biomedical Imaging 163 9 Emerging Technologies and Innovations in Medical Imaging 181 10 Therapeutic Interventions Guided by Advanced Imaging Modalities 203 11 Addressing Technical and Clinical Challenges in Next-Generation Imaging 229 Index 243

Ayush Dogra, PhD, is an Assistant Director at Chitkara University, Punjab, India. His research areas include image fusion, image enhancement, image registration, and image denoising. Shalli Rani, PhD, is a Professor and Director at Chitkara University, Punjab, India. She is a Senior Member of the IEEE and her research interests include Internet of Things, WSN, cloud computing, network security, and machine learning. Ankita Sharma, PhD, is an Assistant Professor at Chitkara University, Punjab, India. She has authored numerous national and international publications in peer-reviewed journals.