Our laboratory focuses on the design and optimization of medical imaging systems and reconstruction algorithms, with the goal of improving image quality and reducing radiation dose.
We apply theoretical, computational, and experimental methods to numerous modalities including CT, SPECT, and tomosynthesis.
Our collaborators include the Zablocki VA Medical Center, Froedtert Hospital, Medical College of Wisconsin, FDA, and industry partners.
February 22, 2015: Our collaborations with the University of Chicago on Spectral CT Imaging were presented as a talk by UC Graduate Student Adrian Sanchez on "Evaluation of spectral CT data acquisition methods via non-stochastic variance maps" and a poster "Investigation of a one-step spectral CT reconstruction algorithm for direct inversion into basis material images."
February 1, 2015: Our collaboration with GE Healthcare on Autophase for Cardiac CT Imaging was granted an additional year of funding. We look forward to continuing the translation of our research in this area.
December 1, 2014: The lab was awarded a two-year grant from GE Healthcare for a project on Next Generation CT Image Quality Metrics
November 30, 2014: Graduate Students Diksha Gandhi and Dan Stassi presented talks at the RSNA Annual meeting on "Radiation dose and image quality performance of organ-based tube current modulation for head and chest CT scans" and "Automated selection of the optimal cardiac phase for single-beat coronary CT angiography."