Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a prospective study on abdominal dual-energy CT.
Jingyu ZhongLingyun WangChao YanYue XingYangfan HuDefang DingXiang GeJianying LiWei LuXiaomeng ShiFei YuanWeiwu YaoHuan ZhangPublished in: BMC Medical Imaging (2024)
Keyphrases
- image reconstruction
- image quality
- deep learning
- computed tomography
- dual energy
- spatial resolution
- ct data
- super resolution
- medical diagnosis
- low dose
- object recognition
- ct images
- positron emission tomography
- image segmentation
- machine learning
- ct scans
- fully automatic
- respiratory motion
- computer tomography
- computational complexity