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Article

A unified deep learning framework for cross-platform harmonization of multi-tracer PET quantification

2025-10-22

Abstract excerpt

Quantitative PET underpins diagnosis and treatment monitoring in neurodegenerative disease, yet systematic biases between PET-MRI and PET-CT preclude threshold transfer and cross-site comparability. We present a unified, anatomically guided deep-learning framework that harmonizes multi-tracer PET-MRI to PET-CT. The model learns CT-anchored attenuation representations with a Vision Transformer Autoencoder, aligns M...

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Literature Corpus work
b3ffcc42-8163-5b52-9902-2d751b4da570
DOI
10.1101/2025.10.20.25338339
Open publication

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A unified deep learning framework for cross-platform harmonization of multi-tracer PET quantificationDOI 10.1101/2025.10.20.25338339
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