True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation.
Kevin T ChenTyler N TouegMary Ellen Irene KoranGuido DavidzonMichael ZeinehDawn HolleyHarsh GandhiKim HalbertAthanasia BoumisGabriel KennedyElizabeth MorminoMehdi KhalighiGreg ZaharchukPublished in: European journal of nuclear medicine and molecular imaging (2021)
Deep learning methods can synthesize diagnostic-quality PET images from ultra-low injected dose simultaneous PET/MRI data, demonstrating the general validity of sampled realizations and the potential to reduce dose significantly for amyloid imaging.
Keyphrases
- deep learning
- high resolution
- low dose
- pet ct
- computed tomography
- positron emission tomography
- convolutional neural network
- magnetic resonance imaging
- contrast enhanced
- artificial intelligence
- pet imaging
- machine learning
- diffusion weighted imaging
- big data
- electronic health record
- high dose
- magnetic resonance
- mass spectrometry
- optical coherence tomography
- fluorescence imaging
- climate change