Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning.
Andreas HessRaphael MeierJohannes KaesmacherSimon JungFabien ScalzoDavid S. LiebeskindRoland WiestRichard McKinleyPublished in: BrainLes@MICCAI (1) (2018)
Keyphrases
- myocardial perfusion
- deep learning
- mr imaging
- coronary artery disease
- clinical setting
- single photon emission computed tomography
- spect images
- cerebral blood flow
- magnetic resonance images
- motion correction
- magnetic resonance imaging
- left ventricle
- unsupervised learning
- machine learning
- dce mri
- unsupervised feature learning
- mri data
- medical imaging
- brain imaging
- high resolution
- mr images
- mental models
- medical images
- motion artifacts
- image processing
- data mining