nipreps/mriqc

Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain

What it solves

MRIQC provides an automated way to assess the quality of MRI scans. It extracts no-reference image quality metrics (IQMs) to help researchers identify problematic scans without needing a manual review of every image.

How it works

The tool uses a modular workflow (via nipype) to process structural (T1w and T2w), functional, and diffusion MRI data. It integrates third-party software toolboxes like ANTs and AFNI to calculate quality metrics while keeping preprocessing to a minimum to ensure the metrics are based on original or minimally processed data.

Who it’s for

Neuroimaging researchers and clinicians who need to standardize the quality assessment of brain imaging data across different sites and acquisition parameters.

Highlights

  • own-reference image quality metrics (IQMs) for structural, functional, and diffusion MRI.
  • BIDS-App standard compliance for interoperability.
  • Modular design integrating ANTs and AFNI.
  • Robustness tested against diverse data from OpenfMRI.

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