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-34/figures/sub-34_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-34/figures/sub-34_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-34/figures/sub-34_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-34/figures/sub-34_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-34/figures/sub-34_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-34/figures/sub-34_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-34/figures/sub-34_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-34/figures/sub-34_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-34/func/sub-34_task-asrt_run-1_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum8014eea4fba2e36a82f21f879a1dff41

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime11:27:12.052500
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[0.999068, 0.0188917, -0.0388171, -0.0156946, 0.996584, 0.0810764]
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_1
PulseSequenceDetails%SiemensSeq%\ep2d_bold
ReceiveCoilActiveElementsHC1-7
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.106406
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_1
SeriesNumber2
ShimSetting[-9722, -13660, -8516, 278, -392, -850, -578, -7]
SliceThickness4
SliceTiming[0.99, 0, 1.0575, 0.0675, 1.1225, 0.1325, 1.1875, 0.1975, 1.255, 0.265, 1.32, 0.33, 1.3875, 0.3975, 1.4525, 0.4625, 1.5175, 0.5275, 1.585, 0.595, 1.65, 0.66, 1.7175, 0.7275, 1.7825, 0.7925, 1.8475, 0.8575, 1.915, 0.925]
SoftwareVersionssyngo MR E11
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp302.604
dcmmetaaffine[[-2.9972031116485596, -0.04708383232355118, -0.19303743541240692, 96.54122161865234], [-0.056674957275390625, 2.989753007888794, 0.3858795762062073, -129.48770141601562], [-0.11645115166902542, -0.24322913587093353, 4.7805681228637695, -62.650360107421875], [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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aor0.0020799027237354086
aqi0.008395609980544746
dummy_trs0
dvarsnstd20.571025636393763
dvarsstd1.1537698646198817
dvarsvstd0.8796436977972713
efc0.5631
fber271.5709
fdmean0.10746024522560614
fdnum26
fdperc5.058365758754864
fwhmavg3.6752055109613493
fwhmx3.871033333333333
fwhmy3.7878333333333334
fwhmz3.36674986621738
gcor0.0611333
gsrx0.07446512579917908
gsry0.0012471089139580727
sizet514
sizex64
sizey64
sizez30
snr1.964190736927367
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk18.5133
summarybgmad25.0081
summarybgmean97.7416
summarybgmedian45.0
summarybgn92479.0
summarybgp0527.0
summarybgp95388.0
summarybgstdv139.6654
summaryfgk0.7204
summaryfgmad353.3295
summaryfgmean806.7098
summaryfgmedian741.0
summaryfgn30401.0
summaryfgp05300.0
summaryfgp951527.0
summaryfgstdv377.2484
tsnr62.1683972501196
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