Radiographic Imaging Principles and Practice is a comprehensive guide to the science, technology, and clinical application of modern medical imaging. Written for radiography students, medical imaging professionals, clinicians, educators, and postgraduate learners, this book explains the principles behind image production while connecting technical knowledge to everyday diagnostic practice and patient care. The book begins with the foundations of X-ray physics, radiation interactions, X-ray production, exposure factors, imaging equipment, digital radiography, image receptors, radiographic geometry, and image quality. These concepts are presented in a practical manner to help readers understand how technical choices affect contrast, resolution, distortion, artifacts, diagnostic quality, and patient radiation exposure. A major part of the text focuses on anatomical positioning and radiographic technique, including examinations of the chest, abdomen, upper limb, shoulder girdle, lower limb, pelvis, spine, skull, and axial skeleton. Rather than treating positioning as a collection of memorized projections, the book connects positioning with anatomy, beam geometry, pathology demonstration, patient condition, image evaluation, and radiation optimization. Important principles of radiation biology, radiation protection, dose optimization, quality assurance, clinical governance, repeat and reject analysis, and evidence-based radiography are also explored. Readers are encouraged to understand not only how an examination is performed, but also why it is justified and how unnecessary exposure can be reduced without compromising diagnostic information. The book extends beyond conventional radiography to cover major modern imaging modalities, including Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Magnetic Resonance Spectroscopy (MRS), Ultrasound, Doppler Imaging, Elastography, Nuclear Medicine, PET, SPECT, PET/CT, SPECT/CT, and PET/MRI. Each modality is explained through its fundamental principles, image acquisition methods, clinical applications, limitations, safety considerations, and emerging developments. Later chapters examine the growing influence of Artificial Intelligence, Machine Learning, Deep Learning, Radiomics, Quantitative Imaging Biomarkers, and Automated Image Analysis. The book also addresses screening, early diagnosis, comparative imaging effectiveness, imaging accessibility, healthcare inequality, teleradiology, portable imaging, an