Medical physicsFluorodeoxyglucose F18Positron-Emission TomographyMachine LearningHumansFeasibility Studies
The feasibility of Ki parametric imaging in clinical dynamic 18F-FDG total-body PET using a simulated-data-driven machine learning algorithm.
Wenjian Gu, Weiping Liu, Wentong Yang, Yihan Wang, Ze Liu, Zhanshi Zhu, Yanxiao Li, Tianyi Xu, Hongcheng Shi, Kuanquan Wang, Gongning Luo, Xiaojun Chen, Yun Zhou
Published: 202510.1002/mp.70053
Abstract
BACKGROUND: Despite Ki parametric images providing high sensitivity and specificity in clinical diagnosis and therapeutic evaluation, their clinical application is limited by prolonged scan durations. Previous research has employed machine learning a…
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