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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/func/sub-20_task-asrt_run-1_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum721439e1b54dcd9f7bf13fb7149ae9a1

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime12:50:16.095000
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[0.999971, 0.00521055, -0.0055545, -0.00523588, 0.999976, -0.0045556]
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
ReceiveCoilActiveElementsHC1-6
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.107449
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_1
SeriesNumber2
ShimSetting[-9758, -13630, -8286, 404, -636, -84, -194, 29]
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, 0.9225]
SoftwareVersionssyngo MR D13C
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp312.122
dcmmetaaffine[[-2.999912977218628, -0.015707651153206825, -0.026547005400061607, 95.72084045410156], [-0.0156316589564085, 2.9999277591705322, -0.02200585976243019, -124.02738952636719], [-0.01666349172592163, 0.013666811399161816, 4.7998762130737305, -81.78947448730469], [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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aor0.0020451851851851855
aqi0.009460561539961014
dummy_trs1
dvarsnstd18.09300714927735
dvarsstd1.1644183061523432
dvarsvstd0.9100230481249989
efc0.54
fber302.7967
fdmean0.07017313303743286
fdnum13
fdperc2.53411306042885
fwhmavg3.5862082902021997
fwhmx3.7187666666666668
fwhmy3.7835666666666667
fwhmz3.2562915372732664
gcor0.0350237
gsrx0.08103184401988983
gsry-0.005712724290788174
sizet513
sizex64
sizey64
sizez30
snr1.8147843727295523
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk27.8876
summarybgmad23.9095
summarybgmean85.7026
summarybgmedian42.0
summarybgn93580.0
summarybgp0525.0
summarybgp95314.0
summarybgstdv121.0102
summaryfgk1.1524
summaryfgmad363.0324
summaryfgmean783.7428
summaryfgmedian726.0
summaryfgn29300.0
summaryfgp05212.0
summaryfgp951533.0
summaryfgstdv400.0407
tsnr49.81406817212701
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