FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging.
Teaghan O'BriainCarlos UribeKwang Moo YiJonas TeuwenIoannis SechopoulosMagdalena Bazalova-CarterPublished in: CoRR (2022)
Keyphrases
- positron emission tomography
- motion correction
- brain imaging
- unsupervised learning
- motion artifacts
- respiratory motion
- magnetic resonance
- mr imaging
- image reconstruction
- human brain
- imaging modalities
- magnetic resonance imaging
- medical imaging
- mri data
- clinical applications
- mr images
- magnetic resonance images
- patient specific
- image analysis
- brain images
- cone beam
- information processing
- image data
- high resolution
- computer vision
- image segmentation
- x ray
- medical image analysis
- machine learning
- semi supervised
- model selection