2024/12: Kevin Chung awarded AHA Postdoctoral Fellowship

Congratulations to Dr. Kevin Chung for receiving a prestigious two-year Postdoctoral Fellowship from the American Heart Association (AHA). His project will develop Multiparametric PET Imaging of the Heart-Brain Axis. Kevin is jointly supervised by Dr. Guobao Wang and Dr. Simon Cherry. His mentoring committee also includes cardiologist Dr. Javier Lopez and neuroimaging scientist Dr. Audrey Fan.

2024/11: Xiaoyu Duan receives Runner-Up of Best Student Papers at IEEE MIC

Congratulations to our graduate student Xiaoyu Duan for receiving the Runner-Up in the Best Student Paper competition at the IEEE Medical Imaging Conference (MIC) in Tampa, Florida. Her paper “Quantification of [18F]FDG Delivery Rate for Liver Inflammation using Shortened Dynamic PET Imaging Protocols” develops a practical approach for using dynamic FDG-PET to assess liver inflammation. Xiaoyu is jointly supervised by Dr.  Guobao Wang and Dr. Ramsey Badawi.

2024/11: IEEE Medical Imaging Conference Presentations

Our lab had a good showcase at the 2024 IEEE Medical Imaging Conference in Tampa, Florida. Dr. Siqi Li, Dr. Yansong Zhu, Dr. Kevin Chung, and graduate student Xiaoyu Duan reported their recent work on PET image reconstruction or kinetic modeling at the conference.

2024/09: Best Oral Award and Best Poster Award at TBPET’24

Congratulations to Dr. Kevin Chung for receiving the Best Presentation Award for his talk at the 2024 Total-Body PET Conference in Groningen, Netherlands! Kevin is jointly supervised by Dr. Simon Cherry.

Kevin J. Chung, Abhijit J. Chaudhari, Lorenzo Nardo, Terry Jones, Moon S. Chen Jr., Ramsey D. Badawi, Simon R. Cherry, Guobao Wang. Total-Body Perfusion Imaging with High Temporal Resolution Kinetic Modeling of Early Dynamic 18F-FDG PET. Total-Body PET 2024 Conference, Groningen, Netherlands, September 19-21, 2024.

Congratulations to Dr. Quyen Tran for his work receiving the Best Poster Award at the same conference!

Quyen Tran, Victoria Lyo, Karen E. Matsukuma, Michael T. Corwin, Benjamin A. Spencer, Valentina Medici, Terry Jones, Simon R. Cherry, Ramsey D. Badawi, Souvik Sarkar, and Guobao Wang. Total-body parametric PET with free-state tracer kinetic modeling: application to imaging of metabolic dysfunction-associated steatohepatitis (MASH) with 18F-FDG. Total-Body PET 2024 Conference, Groningen, Netherlands, September 19-21, 2024.

2024/09: Best Abstract Awards at Radiology Symposium

Congratulations to our graduate student Xiaoyu Duan for receiving the Best Abstract award submitted by a graduate student at the 2024 UC Davis Radiology Symposium.

Congratulations to Dr. Kevin Chung for receiving the Best Abstracts Award submitted by a postdoc or fellow. This is his second time winning this award.

 

2024/07: IEEE Medical Imaging Conference Abstract Acceptance

Our lab will have three abstracts to present at the upcoming 2024 IEEE Medical Imaging Conference in Tampa.

Xiaoyu Duan, S Sarkar, V Lyo, S Romeo, K Matsukuma, V Medici, M Corwin, RD Badawi, and G. Wang. Quantification of 18F-FDG Delivery Rate for Liver Inflammation using Shortened Dynamic PET Imaging Protocols. 2024 IEEE Medical Imaging Conference, Tampa, Florida, Oct 30-Nov 2, 2024. Oral Presentation.

Kevin J. Chung, YG Abdelhafez, BA Spencer, T Jones, RD Badawi, SR Cherry, G Wang. Quantification and Identifiability of Molecular Blood-Brain Barrier Permeability-Surface Area with Total-Body Dynamic PET. 2024 IEEE Medical Imaging Conference, Tampa, Florida, Oct 30-Nov 2, 2024. Oral Presentation.

Siqi Li, BA Spencer, L Nardo, J Qi, SR Cherry, RD Badawi and G Wang. Dynamic PET Image Reconstruction Using Deep Kernel Pretraining from a Total-Body PET Dataset. 2024 IEEE Medical Imaging Conference, Tampa, Florida, Oct 30-Nov 2, 2024. Oral Presentation.

 

2024/06: SNMMI Presentations on Total-Body PET Kinetic Modeling

Dr. Siqi Li and Dr. Kevin Chung attended the SNMMI Annual Meeting in Toronto, June 8-11, 2024. Each of them presented their latest work on total-body PET kinetic modeling and parametric imaging.

Siqi Li, YG Abdelhafez, L Nardo, SR Cherry, RD Badawi, GB Wang.Total-body parametric imaging using relative Patlak plot with self-supervised deep learning noise reduction.2024 SNMMI Annual Meeting, Toronto, June 8-11, 2024

Kevin J. Chung, YG Abdelhafez, BA Spencer, T Jones, Q Tran, L Nardo, S Sarkar, V Medici, V Lyo, RD Badawi, SR Cherry, GB Wang. Single-tracer imaging of molecular blood-brain barrier permeability-surface area with total-body PET. 2024 SNMMI Annual Meeting, Toronto, June 8-11, 2024.

Photo credit: Dr. Lorenzo Nardo

2024/06: Yiran Wang’s Research Featured by Headlines of UC Davis Health News

Dr. Yiran Wang’s research on dynamic PET imaging of the dual-blood supply effect in lung tissue and lung tumors was featured in the Headlines of UC Davis Health News on June 7th:

“Lung cancer breakthroughs: New imaging technologies may change course for top cancer killer”

This was one of the works that Yiran had done during his Ph.D. research under the joint supervision of Dr. Guobao Wang and Dr. Simon R. Cherry. His paper is currently in press in the Journal of Nuclear Medicine. Congratulations, Yiran!

2024/05: Two patents issued for parametric PET techniques with clinical applications

UC Davis has received two patents on parametric PET techniques that explore the molecular transport properties of radiotracers for clinical applications after four years since filing. One patent (inventors: Guobao Wang, Souvik Sarkar, and Ramsey Badawi) is on a liver parametric PET method for measuring hepatic inflammation in fatty liver disease. In combination with CT for measuring steatosis, the liver parametric PET/CT method can be used to noninvasively diagnose and characterize metabolic dysfunction-associated steatohepatitis (MASH). The other patent (inventor: Guobao Wang) is for a technique that uses high-temporal resolution kinetic modeling to enable widely used radiotracers (e.g., 18F-FDG) for quantitative measurement of blood flow, enabling single-tracer multiparametric PET imaging for several clinical applications.