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 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.