IEEE Total-Body Kinetic Modeling Workshop 2025

Register for this workshop via the IEEE NSS/MIC Conference 2025 registration page. The small registration fee includes both a lunch box and dinner.

Time: 1:00-8:30 pm, Tuesday, November 4th, 2025 Location: Pacifico Yokohama, G312 & G313 on Level 3

Organizers: Guobao Wang (UC Davis) and Steven Meikle (University of Sydney)

PROGRAM

12:30-13:00 Collect lunch boxes

13:00 Welcome and Introduction

Guobao Wang (UC Davis) and Steven Meikle (USYD)

SESSION 1: Cutting Edges in Total-Body Kinetic Modeling and Analysis

13:10-14:30

Moderators: Ramsey Badawi (UC Davis) and Vesna Sossi (UBC)

13:10 The Power (and Challenges) of Dynamic Total-Body PET Imaging

Simon Cherry (UC Davis)

13:30 Promising Research Directions for Total-Body Kinetic Modeling

Rich Carson (Yale University)

13:50 Total-body PET Investigations with the PennPET Explorer

Elizabeth Li (University of Pennsylvania)

14:10 Dynamic PET Imaging: Complementary Non-Model Approaches

Tao Sun (Shenzhen Institute of Advanced Technology)

SESSION 2: Emerging Frontiers — Mini-Orals and Industrial Perspectives

14:30-15:40

Moderators: Arman Rahmim (UBC) and Qiu Huang (SJTU)

Mini-Orals (10 minutes each)

14:30 Fast, Reliable Total-Body Bayesian Kinetic Maps via Generative Consistency Models

Yun Zhao (USYD, Postdoctoral Fellow)

14:40 Total-Body PET Kinetic Modelling at KCL: Current Research

Laurence Vass (KCL, Graduate Student)

14:50 Quantifying the Radiotracer Delivery Rate in Immune Organs to Assess Liver Inflammation using Total-Body PET

Xiaoyu Duan (UC Davis, Graduate student)

Industrial Perspectives (20 minutes each)

15:00 Total-Body Kinetic Modeling with the Biograph Vision Quadra

Hasan Sari (Siemens Healthineers)

15:20 Long-axial FOV PET for Quantitative Precision: Advances, Pitfalls, and Emerging Applications in Parametric Imaging

Yihuan Lu (UIH)

15:40 COFFEE BREAK (20 minutes)

SESSION 3: Debate on Total-Body PET Parametric Imaging

16:00-17:00

Moderator: Steven Meikle (USYD)

Two topics / teams:

“We don’t need kinetic modelling in TB-PET, we can use deep learning to generate functional images instead"

· Andrew Reader (KCL)

· Fotis Kotasidis (GE)

· Qing Ye (UIH)

"There will be NO killer app for TB-PET without kinetic modelling"

· Nikolaos Karakatsanis (Cornell)

· Charalampos Tsoumpas (NGMB)

· Vesna Sossi (UBC)

SESSION 4: Hands-on Exercises Session

17:00-19:00

Instructors: Kevin Chung (UC Davis), Yun Zhao (USYD), Qinlin Gu (USYD)

This exercise session will provide an overview of how kinetic modeling methods can be implemented in the Python programming language. We will use an interactive Python environment run online on Google Colab. Participants who would like to run the code themselves during the session will need to bring their laptop and have a Google account. The hands-on exercise materials, including the Python notebook and sample data will be provided to you at the workshop.

19:00-20:30 DINNER AND SOCIAL