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Feb 21, 2023
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![Docker Pulls](https://img.shields.io/docker/pulls/khanlab/labelmerge)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.7636410.svg)](https://doi.org/10.5281/zenodo.7636410)

Merge multiple label maps.
Labelmerge: A BIDS app for merging multiple label maps and metadata into a single parcellation scheme.

Examination of the brain has led to the creation and distribution of numerous parcellation schemes, studying various features or aspects including gross anatomy, cytoarchitecture, myeloarchitecture, functional connectivty, or structural connectivity. With the growing number of available schemes, there exists a need for methods to robustly merge different these different atlases from numerous sources depending on the aims of the specific study.

Currently, combining multiple atlases requires image-processing tools to manually remove and add the regions of interest from the respective atlases. While effective, this task becomes inefficient and is prone to error when looking to combine specific labels of interest from multiple atlases or across a group of subjects. To that end we developed Labelmerge, a Brain Imaging Data Structure (BIDS) app that combines the parcellations of multiple atlases into a single parcellation scheme that can be applied towards downstream analysis.


### Contributing
Clone the git repository. Labelmerge dependencies are managed with Poetry
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