The feasibility of K i parametric imaging in clinical dynamic 18 F‐FDG total‐body PET using a simulated‐data‐driven machine learning algorithm

Despite K 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 algorithms to generate reliable K images from F-FDG PET scans wi...

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Vydané v:	Medical physics (Lancaster) Ročník 52; číslo 10; s. e70053
Hlavní autori:	Gu, Wenjian, Liu, Weiping, Yang, Wentong, Wang, Yihan, Liu, Ze, Zhu, Zhanshi, Li, Yanxiao, Xu, Tianyi, Shi, Hongcheng, Wang, Kuanquan, Luo, Gongning, Chen, Xiaojun, Zhou, Yun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.10.2025
Predmet:	Algorithms Feasibility Studies Fluorodeoxyglucose F18 Humans Image Processing, Computer-Assisted - methods Machine Learning Positron-Emission Tomography - methods Whole Body Imaging - methods total‐body PET Patlak plot machine learning parametric image 18F‐FDG
ISSN:	0094-2405, 2473-4209
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