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-30/figures/sub-30_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-30/figures/sub-30_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-30/figures/sub-30_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-30/figures/sub-30_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-30/figures/sub-30_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-30/figures/sub-30_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-30/figures/sub-30_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-30/figures/sub-30_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-30/func/sub-30_task-asrt_run-3_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum0ed8eefc6a8c5977dadd8acff3306ede

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime11:31:15.872500
BandwidthPerPixelPhaseEncode25.202
BaseResolution64
BodyPartExaminedBRAIN
ConsistencyInfoN4_VE11C_LATEST_20160120
ConversionSoftwaredcm2niix
ConversionSoftwareVersionv1.0.20201102
DerivedVendorReportedEchoSpacing0.00061999
DeviceSerialNumber45758
DwellTime4.3e-06
EchoTime0.03
EchoTrainLength64
EffectiveEchoSpacing0.00061999
FlipAngle90
ImageOrientationPatientDICOM[0.998435, -0.0474352, 0.0296126, 0.0505785, 0.991909, -0.116438]
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
ProtocolNameEPI_DGIST_3
PulseSequenceDetails%SiemensSeq%\ep2d_bold
ReceiveCoilActiveElementsHC1-6
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.107141
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_3
SeriesNumber4
ShimSetting[-9730, -13650, -8297, 442, -352, 121, -670, -84]
SliceThickness4
SliceTiming[0.99, 0, 1.055, 0.0675, 1.1225, 0.1325, 1.1875, 0.1975, 1.255, 0.265, 1.32, 0.33, 1.385, 0.3975, 1.4525, 0.4625, 1.5175, 0.5275, 1.585, 0.595, 1.65, 0.66, 1.715, 0.725, 1.7825, 0.7925, 1.8475, 0.8575, 1.915, 0.925]
SoftwareVersionssyngo MR E11
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp290.972
dcmmetaaffine[[-2.9953057765960693, 0.15173564851284027, 0.1144789457321167, 91.13427734375], [0.14230547845363617, 2.9757277965545654, -0.565216600894928, -125.33332824707031], [0.08883785456418991, 0.3493136763572693, 4.765230655670166, -69.3935775756836], [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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aor0.001291267217630854
aqi0.001974844426997245
dummy_trs1
dvarsnstd16.140640416685073
dvarsstd1.2621098167127065
dvarsvstd0.9639085627900561
efc0.5289
fber423.9483
fdmean0.051957868894686496
fdnum6
fdperc1.6528925619834711
fwhmavg3.440993013680259
fwhmx3.6542999999999997
fwhmy3.5071999999999997
fwhmz3.1614790410407765
gcor0.0305506
gsrx0.055214330554008484
gsry-0.007261130027472973
sizet363
sizex64
sizey64
sizez30
snr1.7532040011386285
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk32.5455
summarybgmad17.5503
summarybgmean81.5956
summarybgmedian37.0
summarybgn92253.0
summarybgp0525.0
summarybgp95312.0
summarybgstdv126.5682
summaryfgk1.2852
summaryfgmad377.3325
summaryfgmean842.0438
summaryfgmedian759.0
summaryfgn30627.0
summaryfgp05277.0
summaryfgp951693.0
summaryfgstdv432.9146
tsnr95.80080583319068
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