Medical imaging systems modeling, design, and optimization (including x-ray CT, cone-beam CT, phase-contrast CT). Interventional imaging and integration of patient-, task-, and device-specific information into imaging devices and workflows. Signal processing, estimation theory, and optimization — especially as applied to the development of sophisticated image reconstruction algorithms and acquisition strategies for high-performance on low-fidelity or sparse data.
- Associate Professor, Biomedical Engineering
- Associate Professor, Electrical & Computer Engineering
- Director, Biomedical Engineering Master’s Program
- PhD, Electrical Engineering, University of Michigan, 2003
- MS, Electrical Engineering, University of Michigan, 1998
- BS, Computer & Systems Engineering, Rensselaer Polytechnic Institute, 1995
September 3, 2020When Johns Hopkins University announced the transition to remote learning in response to the COVID-19 pandemic this past March, Web Stayman, associate professor of biomedical engineering, had just one week to transform his in-person, project-based Build an Imager course into a completely virtual, interactive experience.
October 8, 2015A $2.6 million NIH grant will fund the development of radically-improved CT imaging hardware and software that will deliver patient- and area-specific, low-dose CT scans.
May 21, 2014Armed with pragmatism and advanced computer modeling techniques, BME researchers have made strides in improving CT image quality while reducing X-ray exposure and other negative consequences of the scanning technique.