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 Computed Tomography (CT), tomosynthesis, and X-ray imaging.
Our collaborators include Medical College of Wisconsin, University of Chicago, and industry partners.
November 2018: Latest results from our project on Photon-Counting CT 'One-Step' reconstruction and Spectral CT metal artifact reduction were presented by collaborator Emil Sidky, University of Chicago, in a talk titled, "Spectral CT Metal Artifact Reduction." Taly Gilat Schmidt also presented an invited talk, "Future Prospects: Photon Counting," as part of the Advances in CT refresher course.
July 2018: Latest results from our U01 grant were presented by Adam Wang, Varian Medical Systems, in a talk titled, "CT Dose Calculation Via a Fast, Deterministic Boltzmann Transport Equation Solver: Validation Against AAPM Task Group 195 Monte Carlo Reference Data."
May 2018: Congratulations to MISL graduate student Parag Khobragade on the successful completion of his PhD dissertation titled, "Development and Application of Quantitative Metrics for Computed Tomography Image Quality Assessment." Best of luck in your new position at GE Healthcare!
February 2018: MISL graduate student Parag Khobragade presented a talk titled, "Automated exposure control for CT using a task-based image quality metric" in the Physics of Medical Imaging conference.
December 2017: Congratulations to MISL graduate student Hongfeng (Maple) Ma on the successful completion of her PhD dissertation titled, "Motion Artifact Evaluation of Coronary CT Angiography Images."
July 2017: Taly Gilat Schmidt presented an invited talk, "Future Prospects: Photon Counting," as part of the Advances in CT refresher course.
July 2017: Taly Gilat Schmidt presented two invited talks, "Principles, Pitfalls and Progress in Photon-Counting-Detector Technology," as part of a scientific symposium and "Multi-Energy CT Systems Overview and Quantitative Opportunities," as part of an educational symposium.
July 2017: Taly Gilat Schmidt (MU) and Josh Star-Lack (Varian Medical Systems) have been awarded a $2.5 million U01 grant from the NIH entitled, "Software tool for routine, rapid, patient-specific CT organ dose estimation." This project will develop and validate a software tool to estimate the radiation dose delivered to a patient's specific anatomy when a patient undergoes a computed tomography (CT) examination. We are excited to start this four year collaboration between Marquette, Varian, Medical College of Wisconsin, and Children's Hospital of Wisconsin.
June 2017: Taly Gilat Schmidt has been awarded a $187,000 grant from GE Healthcare for a three year project on "Improved Bolus Tracking for CT Angiography." We look forward to continuing our productive collaborations with GE.
May 2017: The newest results of our research on photon-counting spectral CT imaging, in collaboration with Emil Sidky and Rina Foygel Barber at the University of Chicago, were presented at the 4th Workshop on Medical Applications of Spectroscopic X-ray Detectors at CERN Lab. The talk, presented by Taly Gilat Schmidt, was titled "Experimental feasibility of quantitative Kedge material decomposition using an optimization-based reconstruction method with empirical spectral modeling."