The virtual 2020 UC Davis Liver Imaging Symposium – Innovations in Liver Imaging: From Byte to Bedside, co-chaired by Dr. Souvik Sarkar and Dr. Guobao Wang, was successfully held on November 17th, 2020. The symposium is jointly sponsored by the Department of Internal Medicine, Department of Radiology, and the UCD Comprehensive Cancer Center. It consisted… Read More »
Our Liver Parametric PET project has been formally funded by an R01 grant from NIH/NIDDK. Co-investigators include Souvik Sarkar MD (hepatology), Michael Corwin MD (Radiology), Ramsey D. Badawi PhD (Radiology), Karen Matsukuma MD (Pathology), Jinyi Qi PhD (Biomedical Engineering), and Shuai Chen PhD (Biostatistics).
Dr. Yang Zuo, Dr. Siqi Li, and graduate student Yiran Wang have three conference submissions accepted by the 2020 IEEE Nuclear Science Symposium & Medical Imaging Conference (NSS&MIC), all for oral presentation. The topics relate to PET kinetic modeling and deep-learning low-dose CT respectively. Y Zuo, RD Badawi, CC Foster, T Smith, JE Lopez, GB… Read More »
Yiran Wang, a second-year graduate student jointly supervised by Dr. Guobao Wang and Dr. Simon Cherry, received an Honorable Mention from the 2020 SNMMI PIDSC Young Investigator Award Symposium on July 12. His conference abstract “Effect of dual-input function and dispersion on lung FDG-PET kinetic quantification using the EXPLORER total-body PET/CT scanner” is one of… Read More »
The Society of Nuclear Medicine and Molecular Imaging (SNMMI) selected our work on total-body dynamic PET of metastatic cancer that has been recently presented in the 2020 Annual Meeting for a press release: https://www.snmmi.org/NewsPublications/NewsDetail.aspx?ItemNumber=34153 This work reports the first patient results from our study of total-body 18F-FDG dynamic PET of metastatic cancer. The study is… Read More »
Our NIH R01 grant proposal on Liver Parametric PET received a score in the 1st percentile. Thanks to all the collaborators for the teamwork in the past three years!
Jesse Ahlquist has recently had a conference submission accepted by SNMMI 2020 Annual Meeting for oral presentation. His work investigates the potential of state-of-the-art deep learning noise reduction for improving ultralow-dose CT imaging. A specific significance of his work is for total-body PET/CT imaging using the EXPLORER scanner in the context of liver quantification (see a… Read More »
We have four conference submissions accepted by the 2020 Annual Meeting of SNMMI (Society of Nuclear Medicine and Molecular Imaging), all for oral presentation. Three of these submissions are on total-body PET kinetic modeling: Zuo Y, Cherry SR, Badawi RD, Wang GB. Multiphase Patlak Plot Enabled by High Temporal Resolution Total-body Dynamic PET. SNMMI 2020 Annual… Read More »
On December 18th, we completed a total-body one-hour dynamic F18-FDG PET scan of a cancer patient using the EXPLORER scanner. The subject is the first one recruited for our clinical trial on parametric PET for anti-cancer targeted therapy and immunotherapy. The scan provided visualization of total-body spatiotemporal distribution of F18-FDG in a patient with metastatic… Read More »
Dr. Siqi Li is joining the lab to work on PET/CT image reconstruction and analysis, starting on November 1st. Dr. Li obtained his PhD degree in Software Engineering from Northeastern University, Shenyang, China in July 2019. He has good background in mathematics and prior experience in PET/CT image processing and machine learning. We are looking… Read More »