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-2_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-2_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-2_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-2_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-2_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-2_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-2_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-2_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-2_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum437f7d478e4fc3385f99fd95e8396ca0

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime09:54:5.812500
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_2
PulseSequenceDetails%SiemensSeq%\ep2d_bold
ReceiveCoilActiveElementsHC1-7
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.149918
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_2
SeriesNumber5
ShimSetting[-9725, -13643, -8211, 319, -533, -235, -247, -8]
SliceThickness4
SliceTiming[0.99, 0, 1.0575, 0.0675, 1.1225, 0.1325, 1.19, 0.2, 1.255, 0.265, 1.32, 0.33, 1.3875, 0.3975, 1.4525, 0.4625, 1.5175, 0.53, 1.585, 0.595, 1.65, 0.66, 1.7175, 0.7275, 1.7825, 0.7925, 1.8475, 0.86, 1.915, 0.925]
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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aor0.0033235261707988974
aqi0.003716381322314049
dummy_trs1
dvarsnstd18.912698508259677
dvarsstd1.1830574616850829
dvarsvstd0.9576864774033148
efc0.6443
fber81.9201
fdmean0.08519657201345285
fdnum19
fdperc5.234159779614325
fwhmavg4.093041615952498
fwhmx4.085866666666667
fwhmy4.364466666666667
fwhmz3.8287915145241613
gcor0.0479512
gsrx0.1680590957403183
gsry-0.02468530647456646
sizet363
sizex64
sizey64
sizez30
snr1.9232404991068768
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk8.6361
summarybgmad69.4127
summarybgmean222.0218
summarybgmedian77.0
summarybgn90671.0
summarybgp0529.0
summarybgp95925.0
summarybgstdv325.7496
summaryfgk0.4586
summaryfgmad346.3735
summaryfgmean763.2626
summaryfgmedian696.0
summaryfgn32209.0
summaryfgp05293.0
summaryfgp951460.0
summaryfgstdv361.8836
tsnr78.8208681344986
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