Fundamental Theorem of Tomography

The Fundamental Theorem of Tomography states that by collecting a series of two-dimensional images from different angles around an object, it’s possible to reconstruct a precise three-dimensional representation of that object. Essentially, it means that the combined information from multiple perspectives allows us to accurately determine internal structures without physically cutting into the object. This principle underpins many imaging techniques like CT scans, enabling detailed internal views based solely on external data, and forming the foundation for transforming multiple 2D images into a comprehensive 3D model.