A Feasibility Study of Extracting Tissue Textures From a Previous Full-Dose CT Database as Prior Knowledge for Bayesian Reconstruction of Current Low-Dose CT Images.
Yongfeng GaoZhengrong LiangWilliam MooreHao ZhangMarc J. PomeroyJohn A. FerrettiThomas V. BilfingerJianhua MaHongbing LuPublished in: IEEE Trans. Medical Imaging (2019)
Keyphrases
- ct images
- low dose
- computed tomography
- computer tomography
- ct scans
- lung nodules
- ct imaging
- medical images
- image reconstruction
- medical imaging
- three dimensional
- x ray
- dual energy
- cone beam
- prior knowledge
- ct data
- pet ct
- radiation therapy
- automated segmentation
- lung parenchyma
- medical diagnosis
- region of interest
- lymph nodes
- image analysis
- soft tissue
- radiation dose
- image processing
- patient specific
- medical image analysis
- treatment planning
- pulmonary nodules
- anatomical structures
- magnetic resonance images
- multislice
- magnetic resonance imaging
- prior information