Low-dose CT for MRI-free quantification of tau PET in Alzheimer's disease: a multicentre, cross-sectional, comparison study
Jan 1, 2026·,,,,,
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Guilherme Povala
Livia Amaral
Bruna Bellaver
Firoza Z. Lussier
Pamela C. L. Ferreira
Douglas Teixeira Leffa
Guilherme Bauer-Negrini
Raphael L. de Luca e Tuma
Álvaro de Oliveira Franco
Cécile Tissot
Quentin Finn
João Pedro Ferrari-Souza
Eduardo R. Zimmer
Dana L. Tudorascu
Joseph C. Masdeu
Juan Fortea
David N. Soleimani-Meigooni
Val J. Lowe
Hwamee Oh
Brian A. Gordon
Belen Pascual
Pedro Rosa-Neto
Suzanne L. Baker
Tharick A. Pascoal
Abstract
Tau PET quantification typically requires structural MRI for reference-region definition, normalisation, and segmentation, which imposes a logistical and operational burden. In this study, we evaluated whether low-dose CT can serve as a reliable MRI alternative for tau PET quantification when MRI is unavailable.
Type
Publication
The Lancet Medical Imaging & Theranostics
Status
Peer-reviewed
Authors
Biomedical Data Scientist
Computational neuroscientist working at the intersection of machine learning, biomedical
imaging, and human genetics in neurodegenerative disease. My work applies deep learning to
high-dimensional medical images, harmonizes imaging measurements across sites and acquisition
protocols, and integrates imaging with genomic, proteomic, and longitudinal clinical data to
characterise Alzheimer’s disease and related dementias, with particular focus on fluid and
imaging biomarkers of neurodegeneration.