The paper validates STARE, a blood-free PET quantification tool, showing high correlation with standard methods and time-stability across different scanners.

DOI 10.64898/2026.02.09.704936

imagingstatistical model

𝕏 PostBluesky

NeuroscienceImaging NeurosciencePeer-reviewedJan 1, 2024

PET Imaging of the Serotonin 1A Receptor in Major Depressive Disorder: Hierarchical Multivariate Analysis of 11CWAY100635 Overcomes Outcome Measure Discrepancies

Granville James Matheson, Francesca Zanderigo, Jeffrey Morris Miller…·Robert Todd Ogden

This study applies hierarchical multivariate analysis to PET data of the serotonin 1A receptor in MDD, showing consistent results across outcome measures and pharmacokinetic models.

3 citations

humanimaging

𝕏 PostBluesky

Molecular BiologyNeuroImagePeer-reviewedJan 10, 2022

Source-to-Target Automatic Rotating Estimation (STARE) -- A publicly-available, blood-free quantification approach for PET tracers with irreversible kinetics: Theoretical framework and validation for FDG

Elizabeth A. Bartlett, Robert Todd Ogden, J. John Mann, Francesca Zanderigo

The paper introduces STARE, a blood-free method for quantifying PET tracer influx rates without arterial blood sampling, validated using [18F]FDG PET data.

5 citations

humanimaging

𝕏 PostBluesky

NeuroscienceNeuroImagePeer-reviewedNov 27, 2018

Accuracy and reliability of PBR28 specific binding estimated without the use of a reference region

Pontus Plavén‐Sigray, Martin Schain, Francesca Zanderigo…·Robert Todd Ogden

This study evaluates the accuracy and reliability of specific binding estimates for [11C]PBR28 using the SIME method, showing good precision and reliability for VS but variability in BPND.

22 citations

humanimaging

𝕏 PostBluesky