F]FDG-PET/CT quantitative parameters in tumor lesions by the Bayesian penalized-likelihood PET reconstruction algorithm and its influencing factors.
Yao LiuMei-jia GaoJie ZhouFan DuLiang ChenZhong-ke HuangJi-bo HuCen LouPublished in: BMC Medical Imaging (2021)
Keyphrases
- pet images
- penalized likelihood
- maximum likelihood
- influencing factors
- ct images
- pet ct
- treatment planning
- dynamic contrast enhanced mri
- lymph nodes
- imaging modalities
- positron emission tomography
- medical images
- mri images
- computed tomography
- em algorithm
- mr images
- computer aided
- expectation maximization
- automatic detection
- cancer diagnosis
- brain tumors
- computer tomography
- computer aided diagnosis
- clinical applications
- lung cancer
- mri data
- anatomical structures
- magnetic resonance imaging
- medical imaging
- x ray
- puts forward
- computer vision
- magnetic resonance
- mutual information
- bayesian networks
- image processing