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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Veröffentlicht in:	Medical physics (Lancaster) Jg. 52; H. 10; S. e70053
Hauptverfasser:	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
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.10.2025
Schlagworte:	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
Online-Zugang:	Volltext
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