Abstract Biomedical imaging is a fundamental component of modern healthcare, with few medical conditions not requiring some form of biomedical imaging. The past decade has seen rapid advances in biomedical imaging instrumentation, where there are now combined imaging modalities in a single device, so-called “multimodality” imaging, with vastly improved image quality. These devices produce unprecedented visualization of human anatomy and function. The volume of data generated by these devices has also markedly increased, with a concomitant visual/data burden for clinicians who struggle to assimilate and interpret these data. The explosion in imaging data has prompted extensive research in visualization techniques to simplify how these multidimensional and multimodality biomedical images are interpreted. State-of-the-art techniques integrate image processing algorithms to derive image semantics that are used to produce optimal visualizations specific to the patient data. In parallel, new display technologies—i.e., virtual and augmented reality headsets—have been introduced to provide new approaches to image visualizations. This chapter examines state-of-the-art research in biomedical image visualizations, discusses new display technologies, and outlines open-source development software platforms that are popular in the visualization community.