ComBat-MLE: A Novel Perspective on Developing and Solving ComBat Harmonization Method

Yingping Li, Emilie Chouzenoux, Shuiping Gou, Peng Zeng, Samy Ammari, Nathalie Lassau

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper provides a novel perspective on the model development of the ComBat method. Two sets of parameter constraints were introduced to help identify parameters during the parameter estimation process. And Maximum Likelihood Estimation (MLE) was employed to solve the re-formulated ComBat using each set of constraints. The simpler and faster solution was selected as the proposed ComBat-MLE harmonization method. A series of experiments were conducted to evaluate the effectiveness of various ComBat variants, both quantitatively and qualitatively. The experiments validated the effectiveness of the proposed ComBat-Mle method in removing non-biological scanner effects while at the same time preserving intrinsic biological information. Although the proposed ComBat-MLE method did not significantly outperform existing ComBat variants, it aids in understanding the ComBat method and offers valuable insights into the development of new harmonization methods.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE International Conference on Medical Artificial Intelligence, MedAI 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages26-37
Number of pages12
ISBN (Electronic)9798350377613
DOIs
Publication statusPublished - 1 Jan 2024
Externally publishedYes
Event2nd IEEE International Conference on Medical Artificial Intelligence, MedAI 2024 - Chongqing, China
Duration: 15 Nov 202417 Nov 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Medical Artificial Intelligence, MedAI 2024

Conference

Conference2nd IEEE International Conference on Medical Artificial Intelligence, MedAI 2024
Country/TerritoryChina
CityChongqing
Period15/11/2417/11/24

Keywords

  • ComBat
  • Harmonization method
  • Maximum Likelihood Estimation (MLE)
  • Radiomics
  • Scanner effects

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