Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning.
Andreas HessRaphael MeierJohannes KaesmacherSimon JungFabien ScalzoDavid S. LiebeskindRoland WiestRichard McKinleyPublished in: CoRR (2018)
Keyphrases
- myocardial perfusion
- deep learning
- mr imaging
- coronary artery disease
- spect images
- single photon emission computed tomography
- cerebral blood flow
- clinical setting
- motion correction
- magnetic resonance imaging
- unsupervised learning
- magnetic resonance images
- unsupervised feature learning
- left ventricle
- mri data
- machine learning
- blood flow
- motion artifacts
- high resolution
- medical images
- object recognition
- mr images
- mental models
- dce mri
- brain imaging
- computer vision
- deep architectures
- text classification
- higher order
- positron emission tomography
- contrast enhanced
- magnetic resonance
- medical imaging