- Provides a practical and useful resource on AI and its applications in imaging technology
- Dedicated to enhancing the imaging education of imaging technologists and students
- Serves as an introductory text for imaging technology graduate programs
This book covers the principles, concepts, and applications of artificial intelligence in medical imaging technologies, specifically in the context of diagnostic imaging, such as radiography and radiological technology.
First, artificial intelligence and its subsets machine learning and deep learning are described followed by a discussion of applications of these AI principles in medical imaging technologies. Finally, ethical questions, regulatory aspects, and future trends and challenges are also reviewed in this textbook.
This book is intended for both students and practitioners in radiological technology, radiography, radiation therapy, nuclear medicine technology, diagnostic medical sonography, and biomedical engineering technology. Furthermore, residents in radiology, and medical physics students and related healthcare personnel (administrators and managers for example) may find this book useful.
Table of Contents- Artificial Intelligence in Medical Imaging Technology at a Glance.-
- AI Fundamentals.-
- Principles of Machine Learning.-
- Principles of Deep Learning.-
- Image Processing and Analysis.-
- Artificial Intelligence Applications in Medical Imaging
- Artificial Intelligence in CT Image Reconstruction.-
- Computer-Aided Detection/Computer-Aided Diagnosis
- Ethical and Regulatory Considerations
- Future Trends and Challenges.-
