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Related Experiment Video

Updated: Jul 24, 2025

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Probabilistic estimation for across-batch compatibility enhancement for amyloid PET.

Murat Bilgel1

  • 1Laboratory of Behavioral Neuroscience National Institute on Aging Baltimore Maryland USA.

Alzheimer'S & Dementia (Amsterdam, Netherlands)
|July 10, 2023
PubMed
Summary

Probabilistic Estimation for Across-batch Compatibility Enhancement (PEACE) improves harmonization of multisite amyloid imaging data. PEACE outperforms ComBat, preserving biological effects while enhancing data compatibility across scanners.

Keywords:
BayesianComBatamyloidharmonizationpositron emission tomography

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Area of Science:

  • Neuroimaging
  • Biostatistics
  • Medical Imaging Analysis

Background:

  • Multisite studies combining amyloid imaging data require accurate accounting for systematic differences.
  • Variability in scanners, radiotracers, and acquisition protocols can introduce significant noise.
  • Harmonization is crucial for reliable analysis of diverse neuroimaging datasets.

Purpose of the Study:

  • To introduce Probabilistic Estimation for Across-batch Compatibility Enhancement (PEACE) as a novel harmonization method.
  • To extend the ComBat harmonization model with a fully Bayesian multimodal approach.
  • To apply PEACE to harmonize regional amyloid positron emission tomography (PET) data from multiple scanners.

Main Methods:

  • Developed PEACE, a fully Bayesian multimodal extension of the ComBat harmonization model.
  • Applied PEACE to harmonize regional amyloid PET data acquired from two different scanners.
  • Utilized simulations to compare PEACE performance against the ComBat model.

Main Results:

  • Simulations demonstrated that PEACE superiorly recovers true harmonized values compared to ComBat, even in unimodal scenarios.
  • PEACE harmonization of multiscanner amyloid imaging data showed better agreement with longitudinal data than ComBat.
  • PEACE successfully harmonized data without removing known biological effects, such as age or apolipoprotein E genotype.

Conclusions:

  • PEACE offers superior performance over ComBat for data harmonization in both unimodal and multimodal contexts.
  • The PEACE method is applicable and effective for harmonizing multisite amyloid imaging data.
  • PEACE shows significant promise for harmonizing other types of neuroimaging data, offering an advancement over ComBat.