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-09/figures/sub-09_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-09/figures/sub-09_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-09/figures/sub-09_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-09/figures/sub-09_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-09/figures/sub-09_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-09/figures/sub-09_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-09/figures/sub-09_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-09/figures/sub-09_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-09/func/sub-09_task-asrt_run-2_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum368e1d73ec6dc4ee29f969e837115255

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime11:17:52.007500
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[0.999921, 0.0124537, 0.001404, -0.012217, 0.993586, -0.112418]
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
ReceiveCoilActiveElementsHC1-7
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.113257
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_2
SeriesNumber3
ShimSetting[-9732, -13654, -8088, 348, -350, 45, -469, -132]
SliceThickness4
SliceTiming[0.99, 0, 1.055, 0.065, 1.1225, 0.1325, 1.1875, 0.1975, 1.2525, 0.2625, 1.32, 0.33, 1.385, 0.395, 1.4525, 0.4625, 1.5175, 0.5275, 1.5825, 0.5925, 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
TxRefAmp308.469
dcmmetaaffine[[-2.9997644424438477, -0.03665086254477501, 0.013416069559752941, 95.2886962890625], [-0.03736112639307976, 2.980757713317871, -0.5394825339317322, -111.65922546386719], [0.004211990162730217, 0.33725452423095703, 4.769567966461182, -68.97117614746094], [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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aor0.004564395604395604
aqi0.002444273604395605
dummy_trs0
dvarsnstd15.271364582396695
dvarsstd1.24198446184573
dvarsvstd1.024816044573003
efc0.6044
fber162.761
fdmean0.06814216028224396
fdnum15
fdperc4.1208791208791204
fwhmavg3.579155512103771
fwhmx3.849833333333333
fwhmy3.6071333333333335
fwhmz3.280499869644647
gcor0.05829
gsrx0.1608196347951889
gsry-0.01567217707633972
sizet364
sizex64
sizey64
sizez30
snr1.883228321083226
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk17.6048
summarybgmad37.9611
summarybgmean135.784
summarybgmedian55.0
summarybgn89704.0
summarybgp0528.0
summarybgp95550.0
summarybgstdv203.8295
summaryfgk0.5556
summaryfgmad352.452
summaryfgmean774.7894
summaryfgmedian708.0
summaryfgn33176.0
summaryfgp05272.0
summaryfgp951490.0
summaryfgstdv375.9445
tsnr92.28034207876772
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