Basic visual report

View of the background of the anatomical image

This panel shows a mosaic enhancing the background around the head. Artifacts usually unveil themselves in the air surrounding the head, where no signal sources are present.

Get figure file: sub-001/figures/sub-001_ses-024_acq-undistorted_desc-background_T1w.svg

Zoomed-in mosaic view of the brain

This panel shows a mosaic of the brain. This mosaic is the most suitable to screen head-motion intensity inhomogeneities, global/local noise, signal leakage (for example, from the eyeballs and across the phase-encoding axis), etc.

Get figure file: sub-001/figures/sub-001_ses-024_acq-undistorted_desc-zoomed_T1w.svg

Extended visual report

«Hat»-mask

The hat-mask calculated internally by MRIQC. Some metrics will use this mask, for instance, to find out artifacts and estimate the spread of gaussian noise added to the signal. This mask leaves out the air around the face to avoid measuring noise sourcing from the eyeballs and their movement.

Get figure file: sub-001/figures/sub-001_ses-024_acq-undistorted_desc-airmask_T1w.svg

Distribution of the noise within the hat mask

The noise fit internally estimated by MRIQC to calculate the QI1 index proposed by Mortamet et al. (2009).

Get figure file: sub-001/figures/sub-001_ses-024_acq-undistorted_desc-noisefit_T1w.svg

Artifactual intensities on the background

Mask of artifactual intensities identified within the hat-mask.

Get figure file: sub-001/figures/sub-001_ses-024_acq-undistorted_desc-artifacts_T1w.svg

Brain extraction performance

Brain mask as internally extracted by MRIQC. Defects on the brainmask could indicate problematic aspects of the image quality-wise.

Get figure file: sub-001/figures/sub-001_ses-024_acq-undistorted_desc-brainmask_T1w.svg

Head mask

A mask of the head calculated internally by MRIQC.

Get figure file: sub-001/figures/sub-001_ses-024_acq-undistorted_desc-head_T1w.svg

Brain tissue segmentation

Brain tissue segmentation, as internally extracted by MRIQC. Defects on this segmentation, as well as noisy tissue labels could indicate problematic aspects of the image quality-wise.

Get figure file: sub-001/figures/sub-001_ses-024_acq-undistorted_desc-segmentation_T1w.svg

Spatial normalization of the anatomical image

This panel shows a quick-and-dirty nonlinear registration into the MNI152NLin2009cAsym template accessed with TemplateFlow.

Problem loading figure sub-001/figures/sub-001_ses-024_acq-undistorted_desc-norm_T1w.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-001/figures/sub-001_ses-024_acq-undistorted_desc-norm_T1w.svg

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Reproducibility and provenance information

Thanks for using MRIQC. The following information may assist in reconstructing the provenance of the corresponding derivatives.

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