Tomosynthesis Imaging

An innovative, three-dimensional x-ray imaging technique that enhances projection radiography by adding depth resolution, Tomosynthesis Imaging explores tomosynthesis, an emerging limited-angle tomographic imaging technology that is being considered for use in a range of clinical applications, and is currently being used for breast cancer screening

Ingrid Reiser, PhD, is a research associate (assistant professor) in the Department of Radiology at the University of Chicago. After receiving her PhD in physics from Kansas State University in 2002, she transitioned into medical physics research where she witnessed the presentation of the first breast tomosynthesis images at RSNA 2002 (Radiological Society of North America). Tomosynthesis captivated her interest and she has since investigated many aspects of tomosynthesis imaging, such as computer-aided detection, system modeling, and objective assessment. Her research interests further include image perception and observer performance, as well as tomosynthesis and CT image reconstruction. Stephen J. Glick, PhD, is a professor of radiology at the University of Massachusetts University Medical School and the director of the Tomographic Breast Imaging Research Laboratory. He earned his PhD from Worcester Polytechnic Institute (WPI) in 1991. Dr. Glick is the author of over 60 journal articles and 100 conference proceedings papers and 8 book chapters. Over the past decade, his research has been focused on 3D breast imaging techniques including digital breast tomosynthesis and breast CT with an emphasis on radiation dose, imaging technique optimization, advanced iterative reconstruction methods, detection studies for lesions and microcalcifications, and photon counting detector CT.

Section I Introduction. The history of tomosynthesis. Section II System Design. System design and acquisition parameters for breast tomosynthesis. Detectors for tomosynthesis. Patient dose. Tomosynthesis with circular orbits. Tomosynthesis system modeling. Section III Image Reconstruction. Filtered back projection-based methods for tomosynthesis image reconstruction. Iterative image reconstruction design for digital breast tomosynthesis. Section IV System Performance. Fourier-domain methods for optimization of tomosynthesis (NEQ). Spatial-domain model observers for optimizing tomosynthesis. Observer experiments with tomosynthesis. section V Clinical Applications. Clinical applications of breast tomosynthesis. Chest tomosynthesis. Tomosynthesis applications in radiation oncology. Future developments in breast tomosynthesis. Index.