README.md

In TKoscik/nifti.qc: Quality control metrics and reports for NIFTI data

nifti.qc

NIFTI.QC is an open-source project with the goal of implementing neuroimage quality control metrics in the R software environment for statistical computing and graphics.

License information:

Portions of NIFTI.QC are derived from and are further influenced by MRIQC and the PCP Quality Assessment Protocol

Both MRIQC and PCP utilize the 3-clause BSD license and the copyrights are retained given this derivative work. We have appended copyright for the R implementation, modifications, and novel aspects of these tools. License

Suggested citations:

Shehzad Z, Giavasis S, Li Q, Benhajali Y, Yan C, Yang Z, Milham M, Bellec P, Craddock C. The Preprocessed Connectomes Project Quality Assessment Protocol—a resource for measuring the quality of MRI data. Frontiers in neuroscience. 2015.

Esteban O, Birman D, Schaer M, Koyejo OO, Poldrack RA, Gorgolewski KJ. MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites. PloS one. 2017 Sep 25;12(9):e0184661.

Koscik TR. nifti.qc. Open-source: github.com/tkoscik/nifti.qc. 2017.

TKoscik/nifti.qc documentation built on May 6, 2019, 4:30 p.m.