brainhackorg / global2020

Brainhack Global 2020
https://brainhack.org/global2020/
MIT License
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A Method for Harmonizing Test-retest Multi-scanner Imaging Data #140

Open Remi-Gau opened 1 year ago

Remi-Gau commented 1 year ago

Added as an issue for book keeping

Source: https://brainhack.live/

Leader: Yinshan Wang

Harmonizing MRI data that acquired from multi-scanners may help reduce non-biological bias. ComBat (named for \combining batches") is an empirical Bayesian method for data harmonization that was originallydesigned for genomics (Johnson et al., 2007). It has recently been adapted to neuroimaging studies and applied to diverse data types including diffusion tensor imaging (DTI) (Fortin et al., 2017), cortical thicknesses (Fortinet al., 2018), functional connectivity measurements (Yu et al., 2018), and radiomic features derived from positron emission tomography (PET) imaging (Orlhac et al., 2018).

Details

What participants gain/learn from this project

  1. Hands on MRI morphimical analysis 2. Using R to handle repeated measurement data.