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Manifold diffusion transformer enables diagnostic multi-tracer PET synthesis from MRI for early detection of Alzheimer’s disease

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    1. 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.

  • Positron emission tomography (PET) plays a critical role in the early detection of Alzheimer's disease (AD) by revealing pathophysiological changes prior to clinical onset or neurodegeneration detectable by magnetic resonance imaging (MRI). However, the clinical deployment of multi-tracer PET is limited by high cost and restricted accessibility, especially in resource-limited settings. Here, we introduce MaM-DiT, a novel modality-aware manifold diffusion transformer that synthesizes high-quality, diagnostically informative multi-tracer PET images directly from MRI. By capturing spatiotemporal features across the amyloid–tau–neurodegeneration (A−T−N) spectrum, MaM-DiT enables efficient, non-invasive assessment of AD pathology. The model was trained on 869 paired MRI–PET scans from three clinical centers, visually validated on 106 samples from an independent center, and diagnostically evaluated on 1,207 subjects from the ADNI cohort. We comprehensively assessed the image quality and diagnostic utility of synthetic PETs and found that they exhibited high visual fidelity to real scans across tracers (SSIM > 0.87). Moreover, synthetic PETs enabled AD subtype stratification and improved MRI-along diagnostic performance, yielding gains of up to 13.8% in AUC-ROC and 12.5% in AUC-PR. These results highlight the potential of AI-synthesized multi-tracer PET as a cost-effective prescreening tool to triage at-risk individuals, supporting early detection and optimized resource allocation in diverse healthcare settings.
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  • Cite this article:

    Wang C., Piao S., Wang J., et al. (2026). Manifold diffusion transformer enables diagnostic multi-tracer PET synthesis from MRI for early detection of Alzheimer’s disease. The Innovation Informatics 2:100048. https://doi.org/10.59717/j.xinn-inform.2026.100048
    Wang C., Piao S., Wang J., et al. (2026). Manifold diffusion transformer enables diagnostic multi-tracer PET synthesis from MRI for early detection of Alzheimer’s disease. The Innovation Informatics 2:100048. https://doi.org/10.59717/j.xinn-inform.2026.100048

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