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...

Full description

Bibliographic Details

Published in:	Medical physics (Lancaster) Vol. 52; no. 10; p. e70053
Main Authors:	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
Language:	English
Published:	United States 01.10.2025
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!