Deep-learning based motion-corrected image reconstruction in 4D magnetic resonance imaging of the body trunk.
Thomas KüstnerJiazhen PanChristopher GilliamHaikun QiGastão CruzKerstin HammernikBin YangThierry BluDaniel RueckertRené M. BotnarClaudia PrietoSergios GatidisPublished in: APSIPA (2020)
Keyphrases
- cardiac imaging
- deep learning
- magnetic resonance imaging
- image reconstruction
- medical images
- mri data
- positron emission tomography
- magnetic resonance images
- unsupervised learning
- medical imaging
- machine learning
- beating heart
- phase unwrapping
- super resolution
- computed tomography
- motion estimation
- image sequences
- patient specific
- reconstruction method
- image data
- high quality
- human motion
- white matter
- left ventricle
- spatial resolution
- deformable models
- computer tomography
- single photon emission computed tomography
- optical flow