Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke.
Umberto A. GavaFederico D'AgataEnzo TartaglioneRiccardo RenzulliMarco GrangettoFrancesca BertolinoAmbra SantonocitoEdwin BenninkGiacomo VaudanoAndrea BoghiMauro BerguiPublished in: Frontiers Neuroinformatics (2023)
Keyphrases
- ischemic stroke
- computed tomography
- model free
- contrast enhanced
- coronary artery disease
- neural network
- ct images
- image reconstruction
- medical images
- ct scans
- medical imaging
- spect images
- reinforcement learning
- ct data
- three dimensional
- motion artifacts
- clinical setting
- health care
- function approximation
- mr imaging
- diagnostic process
- motion correction
- coronary artery
- machine learning
- pattern recognition
- information systems
- patient data
- clinical practice
- imaging modalities
- magnetic resonance images
- automatic segmentation
- cardiovascular disease
- intraoperative
- magnetic resonance
- region of interest
- computer aided
- mr images
- normal subjects
- x ray
- image analysis