AI transforms magnetic resonance imaging (MRI) into multi-tracer positron emission tomography (PET).
It visualizes key Alzheimer’s disease biomarkers to characterize the full neurodegenerative spectrum.
These synthetic PET images show high structural fidelity and strong clinical agreement with real scans.
As a cost-effective screening tool, synthetic multi-tracer PET greatly enhances standalone MRI diagnostics.
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Overview of study design
Qualitative results of synthetic multi-tracer PETs and visual Turing test results in the internal testing set
Quantitative accuracy of synthetic multi-tracer PETs at the ROI level
Quantitative accuracy of synthetic multi-tracer PETs at the lobe and whole-brain voxel levels
Correlations of synthetic multi-tracer PETs with cognitive mini-mental state examination (MMSE) score
Correlation results of synthetic multi-tracer PETs with years of education and genetic status
Diagnostic results of synthetic multi-tracer PETs