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. 2019 Aug 28;13:60. doi: 10.3389/fninf.2019.00060

FIGURE 1.

FIGURE 1

Overall workflow for the LONI QC system. The LONI QC system consists of the three main stages: (1) Initialization including the creation of an online account and uploading data; (2) Computation of QC metrics for different image modalities. The system computes and generates various QC metrics, vectors and 3D maps and renderings for user’s comprehensive evaluation of image quality; and (3) Image QC including automated QC and user’s visual evaluation. The automated QC feature provides a way for users to be informed about whether the assessed image data is of good quality or needs further careful inspection by a human expert. IDA, Integrated Data Archive; QC, quality assessment; QC, quality control; MSI, mean slice intensity; SNR, signal-to-noise ratio; CoM, Center of Mass; ADC, apparent diffusion coefficient; DWI, diffusion-weighted imaging; FA, fractional anisotropy; SVNR, signal variance-to-noise variance ratio; TCTV, tissue contrast-to-tissue variance ratio; DVARS, the root-mean-squared change in blood oxygenation level-dependent signal across time; FWHM, full width half maximum; FD, frame-wise displacement; SD, standard deviation.