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.
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."