Foundation of Digital Medical Imaging Technologies

Abstract

Digital medical imaging has developed as an indispensable modality in the context of modern health care systems, allowing for non-invasive visualization of internal anatomic and physiologic structures to successfully facilitate right diagnosis, treatment planning, and monitoring. In the context of the rapid development of digital health care, the scope of imaging has accelerated from analog film-based systems to advanced technology-based systems incorporating the scope of artificial intelligence and data management norms. This chapter provides an overview of digital medical imaging in a comprehensive and organized way, it touches upon the historic development of the imaging technologies, discusses the transition from analog to digital systems. It explains the basic principles that govern image acquisition, the representation of digital images, and the theory of sampling and quantization in an easily understandable way. Major medical imaging techniques including X-ray, computed tomography, magnetic resonance imaging, ultrasound, and nuclear medicine will be discussed regarding their basic working principles, merits, and demerits. Further, the chapter covers major techniques of digital image processing, standards for data management and communication like DICOM and PACS, and the increasing role of artificial intelligence in the workflow of medical imaging. Finally, it critically addresses current challenges in the form of radiation exposure, security of data, bias in algorithms, high hardware cost, and future emerging trends like federated learning, edge computing, advanced 3D imaging, and medical digital twins.