Dynamic PET Imaging Using Dual Texture Features

Dynamic PET Imaging Using Dual Texture Features

Purpose: This study aims to explore the impact of adding texture features in dynamic positron emission tomography (PET) reconstruction of imaging results.Methods: We have improved a reconstruction method that combines radiological dual texture features. In this method, multiple short time frames are...

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Bibliographic Details
Main Authors: Zhanglei Ouyang, Shujun Zhao, Zhaoping Cheng, Yanhua Duan, Zixiang Chen, Na Zhang, Dong Liang, Zhanli Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Computational Neuroscience
Subjects:
dynamic PET
texture feature
gray level-gradient cooccurrence matrix (GGCM)
gray-level run length matrix (GLRLM)
tumor
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2021.819840/full

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https://www.frontiersin.org/articles/10.3389/fncom.2021.819840/full

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