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 2016: Three talks were presented by Medical Imaging Systems Lab members: "Comparison of quantitative k-edge empirical estimators using an energy-resolved photon-counting detector," presented by graduate student Kevin Zimmerman; "Task-based detectability comparison of Exponential Transformation of Free-Response Operating Characteristic (EFROC) curve and Channelized Hotelling Observer (CHO)," presented by graduate student Parag Khobragade; and "Accuracy of patient specific organ-dose estimates obtained using an automated image segmentation algorithm," presented by Taly Gilat Schmidt.
July 2015: Our collaboration with Varian Medical Systems on patient-specific organ dose estimation was presented by Adam Wang of Varian in a talk titled "Patient Specific Dose Maps for CT Scans Using a Fast, Deterministic Boltzmann Transport Equation Solver."