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SPHERE is introduced, a model-free method that makes sensitive datasets directly usable by AI and shareable for open science as a synthetic twin, while the original records never leave the local environment.
RATIONALE AND OBJECTIVES This study aimed to efficiently denoise short 7 T MRI acquisitions to achieve the image quality of longer scans using a generative Artificial Intelligence (AI) model. MATERIALS AND METHODS A 7T Conditional Diffusion Model (7TCDM) was trained on an in-house 7T dataset of 11 examinations consis...
A double-cutoff analysis suggest that scans in the 11 to 26 Centiloid range should be interpreted with caution depending on the context of use, and positivity cutoffs converged around 18 Centiloids (data-driven) and 27 Centiloids (visual reads).
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