Dr. Kevin Chung won the Best Abstract Award in the postdoc group at the 2023 UC Davis Radiology Research Symposium for his very recent work on the parametric imaging of blood-brain barrier permeability of radiotracers using total-body dynamic PET. Congratulations Kevin!
Our lab has two abstracts accepted by the 2023 IEEE Medical Imaging Conference on the topic of total-body PET kinetic modeling and PET-enabled dual-energy CT.
Siqi Li, BA Spencer, YG Abdelhafez, L Nardo, SR Cherry, RD Badawi, T Jones, GB Wang. Quantification of volume-of-distribution of free-state radiotracer using total-body PET kinetic modeling with time delay correction. IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS & MIC), Vancouver, November 2023. accepted for oral presentation.
Yansong Zhu, S Li, R Bayerlein, RD Badawi, GB Wang. Maximum-likelihood estimation of scatter scaling for PET-enabled dual-energy CT. IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS & MIC), Vancouver, November 2023. accepted for oral presentation.
Guobao has been promoted to the rank of Full Professor with tenure, effective on July 1st, 2023.
At the Northern California Chapter of the AAPM 2023 Young Investigator Symposium held on May 19 in San Francisco, Dr. Siqi Li tied for first place for his talk “Dynamic PET Image Reconstruction using Single-Subject Deep Kernel Learning” in the postdoc category. Congratulations, Siqi!
Dr. Kevin Chung joins our lab starting on May 1st, 2023. Dr. Chung received his Ph.D. in Medical Biophysics from the University of Western Ontario, Canada in early 2023. He developed methods and software for low-dose CT perfusion imaging and also has direct experience in PET kinetic modeling. Kevin will work on total-body PET kinetic modeling for FDG blood flow imaging and will be jointly supervised by Dr. Guobao Wang and Dr. Simon Cherry. Welcome Kevin!
Our lab has multiple abstracts accepted for presentation at the Fully3D 2023 and SNMMI 2023.
One abstract on dynamic PET image reconstruction for Fully3D 2023:
Three abstracts on total-body PET kinetic modeling for SNMMI 2023:
Xiaoyu Duan, a graduate student of the Biomedical Engineering Graduate Group (BMEGG), joins the lab to work on total-body PET kinetic modeling. She will be jointly supervised by Dr. Guobao Wang and Dr. Ramsey Badawi. Welcome, Xiaoyu!
Our lab received a new NIH R01 grant entitled “Single-tracer Multiparametric PET Imaging” from NIBIB. The goal of this project is to develop a parametric PET method to enable the widely accessible radiotracer 18F-FDG for quantitative blood flow imaging. Thanks to all the collaborators!
In the 2022 UC Davis Radiology Research Symposium, Yiran received the “Best Abstract by a Graduate Student” for his work “Multi-organ metabolic changes in COVID-19 recovery measured with total-body dynamic 18F-FDG PET”.
Quyen also received the “Best Abstract by a Postdoctoral Fellow” for his work “Interstitial Space Properties of 18F-FDG in Nonalcoholic Fatty Liver Disease”. Congratulations to both!
Congratulations to Siqi Li, Yansong Zhu and Yiran Wang for their conference abstracts accepted by IEEE MIC 2022 and Total-body PET 2022:
Siqi Li, GB Wang. Learning of deep kernels with pairwise attention for PET Image reconstruction. 2022 IEEE Nuclear Sciences Symposium and Medical Imaging Conference (NSS&MIC), Milan, Italy. 5-12 November 2022. Accepted for oral presentation.
Yansong Zhu, S Li, Z Xie, EK Leung, R Bayerlein, N Omidvari, SR Cherry, J Qi, RD Badawi, BA Spencer, GB Wang. PET-enabled dual-energy CT: open-source implementation and real data validation. 2022 IEEE Nuclear Sciences Symposium and Medical Imaging Conference (NSS&MIC), Milan, Italy. 5-12 November 2022. Accepted for oral presentation.
Yiran Wang, S Li, B Spencer, R Verma, M Parikh, L Nardo, RD Badawi, SR Cherry, GB Wang. Total-body PET parametric imaging using Deep Patlak: a deep-learning kinetic modeling method inspired by the Patlak plot. Total-body PET 2022, Edinburgh, Scotland. 24-26 September 2022. Accepted for oral presentation.