CenTauR Flortaucipir Calibration Dataset
Brought to you by the ADIR Lab at Mayo Clinic
Contact: schwarz.christopher@mayo.edu

To create a dataset for calibrating arbitrary tau PET SUVR pipelines to CenTauRZ units, we 
sampled 100 participants from the Mayo Clinic Study of Aging and ADRC. This includes: 50 
participants with clinical dementia with AD (confirmed amyloid positivity on Pittsburgh 
compound B) with exclusively amnestic phenotypes, and paired 3T T1-weighted MRI and 
Flortaucipir (FTP) PET; and 50 age-and-sex-matched amyloid-negative cognitively unimpaired 
participants. We de-identified and de-faced all images with mri_reface 
(https://www.nitrc.org/projects/mri_reface/) to allow easy-access public distribution. A 
second timepoint is also provided for available participants (70/100), which can be used to 
test the reproducibility of your unit conversion parameters. 

The intended use of this dataset is to run your arbitrary tau PET SUVR pipeline with the 
"time1" images from all participants. Your pipeline should use the canonical CenTauR ROIs. You 
should also run the canonical "Centiloid standard" SPM8 pipeline against these same images, or 
you can use the included .csv file with canonical values for this dataset 
(CenTauR_FTP_Calibration_spm8.csv). You should then run a linear regression with 
y=SPM8_Standard_SUVR and x=your_pipeline_SUVR and obtain the slope + intercept. Ideally, you 
would use a Deming regression. With that slope + intercept, you can transform between 
your_pipeline_SUVR to SPM8_Standard_SUVR. To further transform to CentaurZ units, you can use 
the published values for your tracer in https://doi.org/10.1002/alz.061177.

More information may be found in the HAI 2024 abstract: Schwarz et al., Publicly Available 
Software and FTP calibration data for CenTauR tau PET standardization, from 
https://hai.worldeventsforum.com. 

Copyright 2024 Mayo Clinic. Any attempt to re-identify research participants is strictly 
prohibited.