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-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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/figures/sub-20_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-20/func/sub-20_task-asrt_run-2_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum57ed0a27ebc615c7224b09dd45986d36

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime13:08:56.620000
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_2
PulseSequenceDetails%SiemensSeq%\ep2d_bold
ReceiveCoilActiveElementsHC1-6
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.107449
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_2
SeriesNumber3
ShimSetting[-9758, -13630, -8286, 404, -636, -84, -194, 29]
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 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, 364]
dcmmetaslice_dim2
dcmmetaversion0.6
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aor0.0018897520661157025
aqi0.002886096388429752
dummy_trs1
dvarsnstd16.73054246207182
dvarsstd1.2778135460220996
dvarsvstd0.9737330342817677
efc0.5417
fber302.3996
fdmean0.055231613168778046
fdnum4
fdperc1.1019283746556474
fwhmavg3.4589027358243882
fwhmx3.5631
fwhmy3.6462333333333334
fwhmz3.1673748741398304
gcor0.0241686
gsrx0.08092613518238068
gsry-0.004669773858040571
sizet363
sizex64
sizey64
sizez30
snr1.7851563777362431
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk29.5385
summarybgmad23.8728
summarybgmean85.42
summarybgmedian42.0
summarybgn92815.0
summarybgp0525.0
summarybgp95314.0
summarybgstdv119.5082
summaryfgk1.176
summaryfgmad366.1252
summaryfgmean778.8364
summaryfgmedian723.0
summaryfgn30065.0
summaryfgp05194.0
summaryfgp951533.0
summaryfgstdv404.9998
tsnr81.96523642446846
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