Radiologic Imaging Science and Technology

Radiologic Imaging Science and Technology is a comprehensive guide to the scientific principles, technologies, and clinical applications that shape modern medical imaging. Written for radiography students, radiologic technologists, clinicians, educators, and imaging professionals, the book explains complex concepts in a clear and practical manner while connecting imaging physics with patient care.

The book covers X-ray production, radiation interactions with matter, digital radiography, image formation, image quality, exposure optimization, radiation biology, radiation protection, computed tomography, fluoroscopy, and medical imaging informatics. Readers will also develop a practical understanding of important concepts such as spatial resolution, contrast, noise, SNR, CNR, MTF, DQE, CT dose metrics, image artifacts, quality assurance, and diagnostic imaging statistics.

Later sections explore the rapidly developing role of artificial intelligence in radiology, including machine learning, deep learning, image reconstruction, computer-aided diagnosis, detection, segmentation, radiomics, predictive imaging, multimodal analysis, AI validation, ethics, governance, and emerging imaging technologies.

Combining foundational physics with contemporary digital and computational imaging, Radiologic Imaging Science and Technology provides a valuable reference for anyone seeking to understand how medical images are produced, evaluated, optimized, and safely applied in modern clinical practice.