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.
November 2016: Graduate student Hongfeng Ma presented a talk on "Automated Coronary Artery Motion Artifact Evaluation and Correction Identification for CT Angiography Images."
June 2016: Taly Gilat Schmidt presented an invited talk on "Optimization-based reconstruction for Spectral CT Imaging" at the Imaging 2016 Conference, organized by the KTH Royal Institute of Technology and sponsored by the Royal Swedish Academy of Sciences KVA through its Nobel Institute for Physics. The talk presented the latest results of our Spectral CT collaboration with Emil Sidky and Rina Foygel Barber at the University of Chicago.