Automated semi-quantitative amyloid PET analysis technique without MR images for Alzheimer's disease.
Etsuko ImabayashiNaoyuki TamamuraYuzuho YamaguchiYuto KamitakaMuneyuki SakataKenji IshiiPublished in: Annals of nuclear medicine (2022)
F-flutemetamol-PET calculated SUVr and CL automatically without anatomical images. Moreover, it objectively and homogeneously interpreted positive or negative Aβ burden in the brain as a supplemental tool for the visual reading of equivocal cases in routine clinical practice.
Keyphrases
- clinical practice
- deep learning
- convolutional neural network
- pet ct
- positron emission tomography
- computed tomography
- optical coherence tomography
- pet imaging
- machine learning
- physical activity
- working memory
- cognitive decline
- high throughput
- magnetic resonance
- resting state
- contrast enhanced
- risk factors
- magnetic resonance imaging
- cerebral ischemia
- mass spectrometry
- multiple sclerosis