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.
July 2017: Taly Gilat Schmidt (MU) and Emil Sidky (University of Chicago) have been awarded a $1.4 million U01 grant from the NIH entitled, "Spectral CT Metal Artifact Correction." This project will develop CT imaging and reconstruction methods to reduce metal artifacts while maintaining image fidelity. We are excited to start this four year collaboration between Marquette, University of Chicago, and the Department of Radiation Oncology at the Medical College of Wisconsin.
May 2019: 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 5th Workshop on Medical Applications of Spectroscopic X-ray Detectors at CERN Lab. The talk, presented by Taly Gilat Schmidt, was titled "Combined empirical and model-based estimation of photon-counting detector spectral response for quantitative material decomposition."
April 2019: Taly Gilat Schmidt presented an educational talk on CT radiation dose and our research to estimate patient-specific dose estimation as part of the Medical College of Wisconsin Conversations with Scientists program. The talk, which was broadcast across Wisconsin and simulcast online, is available for viewing here.
February 2019: Exciting MISL research results were presented at the SPIE Medical Imaging conference. Undergraduate student Parker Jenkins presented a talk on "Experimental study of neural network material decomposition to account for pulse-pileup effects in photon-counting spectral CT." Postdoc Hongfeng Ma presented a poster on "Using one test bolus to monitor bolus arriving at two locations in CT angiography runoff scans: a feasibility simulation study."
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.