Deep Learning on Amyloid Positons Emission Tomography
- Age
- 18 – 99
- Sex
- Any
- Study type
- Observational
- Participants needed
- 40 (estimated)
- Sponsor
- Central Hospital, Nancy, France · Other
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Check Your EligibilityReducing injected dose and/or acquisition time in amyloid PET imaging would improve comfort, radiation safety and cost-effectiveness in diagnosis and follow-up of patients. This study evaluates the impact of a deep learning-based noise reduction algorithm on visual analysis and Centiloid quantification when simulating reduced injected doses of \[18F\]flutemetamol.
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