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danielasay committed Mar 27, 2024
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# Summary

Diffusion weighted neuroimaging is an MR modality that seeks map white-matter microstructure in the human brain. `DWIQC` serves as a robust quality assurance tool for diffusion weighted images as well as a means to facilitate data management and sharing via the XNAT platform. `DWIQC` utilizes analysis tools developed by FSL [@smith_advances_2004], Prequal [@cai_prequal:_2021], Qsiprep [@cieslak_qsiprep:_2021] and MRtrix [@tournier_mrtrix:_2012] to perform first level preprocessing of diffusion weighted images and to assess data quality through quantitative metrics. `DWIQC` utilizes containerized versions of the aforementioned software to ensure reproducibility of results and portability. `DWIQC` generates an aggregated report of summary metrics and images from the output of analysis software, which can be uploaded to the XNAT [@marcus_extensible_2007] data management platform, though upload to XNAT is not necessary.
Diffusion weighted neuroimaging is an MR modality that maps white-matter microstructure in the human brain. `DWIQC` serves as a robust quality assurance tool for diffusion weighted images as well as a means to facilitate data management and sharing via the XNAT platform. `DWIQC` utilizes analysis tools developed by FSL [@smith_advances_2004], Prequal [@cai_prequal:_2021], Qsiprep [@cieslak_qsiprep:_2021] and MRtrix [@tournier_mrtrix:_2012] to perform first level preprocessing of diffusion weighted images and to assess data quality through quantitative metrics. `DWIQC` utilizes containerized versions of the aforementioned software to ensure reproducibility of results and portability. `DWIQC` generates an aggregated report of summary metrics and images from the output of analysis software, which can be uploaded to the XNAT [@marcus_extensible_2007] data management platform, though upload to XNAT is not necessary.


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