Basic echo-wise reports

Standard deviation of signal through time

The voxel-wise standard deviation of the signal (variability along time).

Get figure file: sub-22/figures/sub-22_task-asrt_run-3_desc-stdev_bold.svg

View of the background of the voxel-wise average of the BOLD timeseries

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-22/figures/sub-22_task-asrt_run-3_desc-background_bold.svg

Voxel-wise average of BOLD time-series, zoomed-in covering just 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-22/figures/sub-22_task-asrt_run-3_desc-zoomed_bold.svg

Carpetplot and nuisance signals

The so-called «carpetplot» may assist in assessing head-motion derived artifacts and respiation effects.

Get figure file: sub-22/figures/sub-22_task-asrt_run-3_desc-carpet_bold.svg

Extended echo-wise reports

Voxel-wise average of BOLD time-series

The average signal calculated across the last axis (time).

Get figure file: sub-22/figures/sub-22_task-asrt_run-3_desc-mean_bold.svg

Extended reports shared across echos

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-22/figures/sub-22_task-asrt_run-3_desc-brainmask_bold.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-22/figures/sub-22_task-asrt_run-3_desc-norm_bold.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-22/figures/sub-22_task-asrt_run-3_desc-norm_bold.svg

About

Errors

Reproducibility and provenance information

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

Execution environmentsingularity
Input filename/sub-22/func/sub-22_task-asrt_run-3_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum57d668a8e6d44032d2a8d2cdda53325b

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime10:07:40.632500
BandwidthPerPixelPhaseEncode25.202
BaseResolution64
BodyPartExaminedBRAIN
ConsistencyInfoN4_VD13C_LATEST_20121124
ConversionSoftwaredcm2niix
ConversionSoftwareVersionv1.0.20201102
DerivedVendorReportedEchoSpacing0.00061999
DeviceSerialNumber45758
DwellTime4.3e-06
EchoTime0.03
EchoTrainLength64
EffectiveEchoSpacing0.00061999
FlipAngle90
ImageOrientationPatientDICOM[0.997267, 0.0558122, -0.048418, -0.0609954, 0.991701, -0.113175]
ImageType['ORIGINAL', 'PRIMARY', 'M', 'ND', 'MOSAIC']
ImagingFrequency123.2
InPlanePhaseEncodingDirectionDICOMROW
InstitutionAddressStreet StreetNo,City /652E4B/,District,KR,ZIP
InstitutionNameDGMIF
InstitutionalDepartmentNameDepartment
MRAcquisitionType2D
MagneticFieldStrength3
ManufacturerSiemens
ManufacturersModelNameSkyra
ModalityMR
PartialFourier1
PatientPositionHFS
PercentPhaseFOV100
PercentSampling100
PhaseEncodingDirectioni
PhaseEncodingSteps64
PhaseResolution1
PixelBandwidth1815
ProcedureStepDescriptionDGMIF^DGIST_Jeon
ProtocolNameEPI_DGIST_3
PulseSequenceDetails%SiemensSeq%\ep2d_bold
ReceiveCoilActiveElementsHC1-7
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.149918
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_3
SeriesNumber6
ShimSetting[-9725, -13643, -8211, 319, -533, -235, -247, -8]
SliceThickness4
SliceTiming[0.99, 0, 1.055, 0.065, 1.12, 0.1325, 1.1875, 0.1975, 1.2525, 0.2625, 1.32, 0.33, 1.385, 0.395, 1.45, 0.4625, 1.5175, 0.5275, 1.5825, 0.5925, 1.65, 0.66, 1.715, 0.725, 1.78, 0.7925, 1.8475, 0.8575, 1.9125, 0.9225]
SoftwareVersionssyngo MR D13C
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp343.128
dcmmetaaffine[[-2.991799831390381, -0.182986319065094, -0.20015813410282135, 99.61997985839844], [-0.16743651032447815, 2.9751029014587402, -0.5559329986572266, -105.03418731689453], [-0.1452540010213852, 0.33952635526657104, 4.76349401473999, -85.0237808227539], [0.0, 0.0, 0.0, 1.0]]
dcmmetareorient_transform[[0.0, -1.0, 0.0, 63.0], [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 1.0]]
dcmmetashape[64, 64, 30, 364]
dcmmetaslice_dim2
dcmmetaversion0.6
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aor0.0023281267217630853
aqi0.004224004848484848
dummy_trs1
dvarsnstd18.18832231201658
dvarsstd1.1630270970165741
dvarsvstd0.9477955726795577
efc0.645
fber81.6265
fdmean0.0799132357093576
fdnum15
fdperc4.132231404958677
fwhmavg4.1139430043079805
fwhmx4.0903
fwhmy4.382466666666667
fwhmz3.8690623462572757
gcor0.0669846
gsrx0.1658562570810318
gsry-0.029408596456050873
sizet363
sizex64
sizey64
sizez30
snr1.9005482329899415
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk8.4884
summarybgmad69.2984
summarybgmean219.0463
summarybgmedian77.0
summarybgn90429.0
summarybgp0529.0
summarybgp95913.0
summarybgstdv319.2607
summaryfgk0.5843
summaryfgmad345.0297
summaryfgmean759.6492
summaryfgmedian691.0
summaryfgn32451.0
summaryfgp05289.0
summaryfgp951460.0
summaryfgstdv363.5737
tsnr76.06951321056113
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