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-12/figures/sub-12_task-asrt_run-1_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-12/figures/sub-12_task-asrt_run-1_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-12/figures/sub-12_task-asrt_run-1_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-12/figures/sub-12_task-asrt_run-1_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-12/figures/sub-12_task-asrt_run-1_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-12/figures/sub-12_task-asrt_run-1_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-12/figures/sub-12_task-asrt_run-1_desc-norm_bold.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-12/figures/sub-12_task-asrt_run-1_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-12/func/sub-12_task-asrt_run-1_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sumc0633d613e858ef95a72ec0dd7ad7d37

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime11:01:1.005000
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[0.99976, 0.0151486, 0.0158212, -0.0139602, 0.997256, -0.0726995]
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_1
PulseSequenceDetails%SiemensSeq%\ep2d_bold
ReceiveCoilActiveElementsHC1-7
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.131435
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_1
SeriesNumber2
ShimSetting[-9722, -13625, -8151, 129, -398, -233, -4, -256]
SliceThickness4
SliceTiming[0.99, 0, 1.055, 0.065, 1.1225, 0.1325, 1.1875, 0.1975, 1.2525, 0.265, 1.32, 0.33, 1.385, 0.395, 1.4525, 0.4625, 1.5175, 0.5275, 1.5825, 0.595, 1.65, 0.66, 1.715, 0.725, 1.7825, 0.7925, 1.8475, 0.8575, 1.9125, 0.925]
SoftwareVersionssyngo MR D13C
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp314.499
dcmmetaaffine[[-2.9992802143096924, -0.04188057407736778, 0.0810195654630661, 95.04945373535156], [-0.045445799827575684, 2.9917685985565186, -0.34781378507614136, -114.44038391113281], [0.04746357351541519, 0.21809855103492737, 4.786696434020996, -88.77650451660156], [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, 514]
dcmmetaslice_dim2
dcmmetaversion0.6
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aor0.0010235867446393761
aqi0.006549067329434698
dummy_trs1
dvarsnstd19.437418919023443
dvarsstd1.1443862718359366
dvarsvstd0.9273712121679681
efc0.5614
fber200.5547
fdmean0.1198187777181314
fdnum39
fdperc7.60233918128655
fwhmavg3.0268110739266443
fwhmx3.1257133333333336
fwhmy3.1473866666666663
fwhmz2.8073332217799334
gcor0.0228102
gsrx0.037927158176898956
gsry0.008971906267106533
sizet513
sizex64
sizey64
sizez30
snr2.1086356816939884
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk27.2875
summarybgmad28.6434
summarybgmean82.3761
summarybgmedian48.0
summarybgn94625.0
summarybgp0527.0
summarybgp95269.0
summarybgstdv100.4986
summaryfgk0.4121
summaryfgmad311.1326
summaryfgmean706.1035
summaryfgmedian674.0
summaryfgn28255.0
summaryfgp05226.0
summaryfgp951284.0
summaryfgstdv319.6323
tsnr61.97898050490767
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