Enhancing Medical Imaging with Emerging Technologies

Enhancing Medical Imaging with Emerging Technologies

Release Date: April, 2024|Copyright: © 2024 |Pages: 394
DOI: 10.4018/979-8-3693-5261-8
ISBN13: 9798369352618|ISBN13 Softcover: 9798369352625|EISBN13: 9798369352632
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Description & Coverage
Description:

The field of medical imaging is rapidly evolving, with new technologies and techniques constantly emerging. However, this fast-paced advancement brings challenges such as the complexity of imaging modalities, the need for continuous education and training, and the integration of emerging technologies like AI and robotics into existing healthcare systems. Healthcare professionals and technology enthusiasts often need help to keep pace with these changes and may feel overwhelmed by the vast amount of information and possibilities in the field.

Enhancing Medical Imaging with Emerging Technologies offers a comprehensive solution to these challenges. By providing a thorough introduction to medical imaging systems, including the fundamentals of system theory and image processing, the book serves as a foundational resource for understanding the complex world of medical imaging. It covers various imaging modalities, from conventional camera systems to advanced techniques like magnetic resonance imaging and optical coherence tomography, offering readers a holistic view of the field.

This book is a historical account and a visionary exploration of the future of medical imaging. It highlights emerging trends and possibilities, such as AI-driven diagnostics and personalized medicine, that will shape the future of healthcare visualization. Whether you're a healthcare professional looking to expand your knowledge, or a technology enthusiast interested in the intersection of science and healthcare, this book is a valuable resource that inspires hope, sparks curiosity, and paints a vivid picture of the limitless potential of medical imaging.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Advanced Techniques for Image Formation
  • AI-Driven Diagnostics
  • Bridging Science and Healthcare
  • Computed Tomography
  • Customized Treatments
  • Diverse Medical Imaging Modalities
  • Elevating Patient Outcomes
  • Emerging Trends
  • Endoscopy
  • Grasping Fundamental Principles
  • Harnessing Power of Sound Waves
  • Magnetic Resonance Imaging
  • Medical Robotics
  • Microscopy
  • Nuclear Imaging
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Editor/Author Biographies
Dr. Avinash Kumar Sharma currently working as Associate Professor, Department of Computer Science & Engineering, Sharda School of Engineering & Technology (SSET), Sharda University., Greater Noida. My research areas are Cloud Computing, Machine Learning, Smart Agriculture, Artificial Intelligence. I have 17 years of teaching experience. I have published about 25 research papers in national / international conferences, journals and book chapters. I have published 03 patents including 01 design patents.
Nitin Chanderwal is currently working as an Associate Professor Educator-Full Time in the Department of Electrical and Computer Engineering at University of Cincinnati. In the past I have worked as Associate Professor-Full Time of Information Systems and Analytics at IIM Shillong, Meghalaya, INDIA. During his tenure at IIM Shillong he also served as Chairperson for the Areas: {(Information Systems and Analytics) & (IT Services and Website Committee)}. During 2017-2018, He has worked as Professor Educator in the Department of EECS at University of Cincinnati, OH and during 2010-2011 as First Tier Bank Professor in the Peter Kiewit Institute at University of Nebraska at Omaha, NE, USA. In July 2001, he received B.Engg. in Computer Science & Engineering [Hons.] from Dr. B.R. Ambedkar University, Agra and M.Engg. in Software Engineering from Thapar University, erstwhile Thapar Institute of Engineering and Technology (Deemed University), Patiala, Punjab, INDIA in March 2003. In September 2008, he received Ph.D. in Computer Science & Engineering from Jaypee University of Information Technology, INDIA and University of Florida (UF), Gainesville, FL, USA under student exchange program, specifically he has completed 12 credits course work from UF. In May 2013, he received D.Sc. in Computer Science & Engineering from Uttarakhand Technical University, Dehradun, INDIA. I completed partial research work of D.Sc. at University of Nebraska at Omaha (UNO), NE, USA. He is a IBM certified engineer, a Life Member of IAENG, Senior Member of IEEE, ACM & IACSIT and Member of SIAM and ACIS and have published 200+ Research Papers in peer reviewed International Journals & Transactions, Book Chapters, Symposium, Conferences and Position. He has bagged more than 50 academic and research awards. My research interest includes Blockchain Technology, Cyber Physical Systems, Big Data Analytics, Social Networks especially Computer Mediated Communications & Flaming, Interconnection Networks & Architecture, Fault-tolerance & Reliability, NoCs, SoCs, and NiPs, Application of Stable Matching Problems, Stochastic Communication and Sensor Networks. He has received 2 Indian Patents and 1 Australian Patent during 2020-2021. he is also an Associate Editor of the International Journal of Parallel, Emergent and Distributed Systems, Taylor and Francis, UK and IEEE Access, IEEE, USA.

Shobhit Tyagi is currently affiliated with Sharda University.

Prashant Upadhyay is currently affiliated with Sharda University.

Amit Kumar Tyagi is working as Assistant Professor, at National Institute of Fashion Technology, 110016, New Delhi, India. Previously he has worked as Assistant Professor (Senior Grade 2), and Senior Researcher at Vellore Institute of Technology (VIT), Chennai Campus, 600127, Chennai, Tamilandu, India for the period of 2019-2022. He received his Ph.D. Degree (Full-Time) in 2018 from Pondicherry Central University, 605014, Puducherry, India. About his academic experience, he joined the Lord Krishna College of Engineering, Ghaziabad (LKCE) for the periods of 2009-2010, and 2012-2013. He was an Assistant Professor and Head- Research, Lingaya’s Vidyapeeth (formerly known as Lingaya’s University), Faridabad, Haryana, India for the period of 2018-2019. His supervision experience includes more than 10 Masters' dissertations and one PhD thesis. He has contributed to several projects such as “AARIN” and “P3- Block” to address some of the open issues related to the privacy breaches in Vehicular Applications (such as Parking) and Medical Cyber Physical Systems (MCPS). He has published over 150 papers in refereed high impact journals, conferences and books.
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