Fundamental Mathematics and Physics of Medical Imaging

Jack Lancaster's research activities focus on theory, acquisition, and processing of 3D images of humans and animals. His research in modeling has lead to the development of new 3D standardized models of the human brain, methods to assess myelin levels during early brain development, and a new theory of interactions of pulsed E-M fields in the brain. He is a member of the Committees on Graduate Studies for the joint UTSA-UTHSCSA Biomedical Engineering Program and the UTHSCSA Radiological Sciences program, where he teaches courses in advanced imaging concepts. He is also Co-Editor of the Human Brain Mapping journal and actively involved in groups developing standards for brain mapping. He has published over 150 articles in peerreviewed journals.

Basic Concepts. Overview. Medical Imaging Technology & Terminology. Digital Imaging in Diagnostic Radiology. Intermediate Concepts. Physical Determinants of Contrast. Mathematics for Linear Systems. Spatial Resolution. Random Processes. Noise and Detective Quantum Efficiency. Advanced Concepts. Noise-Resolution Models. The Rose Model. Receiver Operating Characteristics (ROC) Analysis. Dynamic Imaging. Digital Subtraction Angiography (DSA). Temporal Filtering. Tomographic Imaging. X-Ray Computed Tomography (CT). Single Photon Emission Computed Tomography (SPECT). Magnetic Resonance Imaging (MRI).