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-21/figures/sub-21_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-21/figures/sub-21_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-21/figures/sub-21_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-21/figures/sub-21_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-21/figures/sub-21_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-21/figures/sub-21_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-21/figures/sub-21_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-21/figures/sub-21_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-21/func/sub-21_task-asrt_run-3_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum781c7d87b9e4dcd9d977cebfade39024

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime16:11:8.197500
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[0.997882, 0.0649542, 0.003466, -0.0645301, 0.995254, -0.0728384]
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_3
PulseSequenceDetails%SiemensSeq%\ep2d_bold
ReceiveCoilActiveElementsHC1-6
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.137438
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_3
SeriesNumber4
ShimSetting[-9775, -13638, -8062, 400, -418, -42, -295, -73]
SliceThickness4
SliceTiming[0.99, 0, 1.0575, 0.0675, 1.1225, 0.1325, 1.1875, 0.2, 1.255, 0.265, 1.32, 0.33, 1.3875, 0.3975, 1.4525, 0.4625, 1.5175, 0.53, 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
TxRefAmp315.117
dcmmetaaffine[[-2.9936466217041016, -0.1935904622077942, 0.039267417043447495, 98.84180450439453], [-0.19486267864704132, 2.985761880874634, -0.34781011939048767, -110.55488586425781], [0.010398007929325104, 0.218515083193779, 4.7872209548950195, -62.67837905883789], [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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aor0.024037162534435264
aqi0.02159269231404959
dummy_trs1
dvarsnstd31.41995805107734
dvarsstd1.119695353508286
dvarsvstd0.9051072061878453
efc0.5879
fber184.3247
fdmean0.2675515140857129
fdnum132
fdperc36.36363636363637
fwhmavg3.6266528442427557
fwhmx3.8320666666666665
fwhmy3.7026
fwhmz3.3452918660616002
gcor0.0164898
gsrx0.09264475852251053
gsry0.01132763922214508
sizet363
sizex64
sizey64
sizez30
snr1.9058756982087666
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.799999713897705
summarybgk22.2837
summarybgmad38.0249
summarybgmean104.8618
summarybgmedian53.0
summarybgn88876.0
summarybgp0525.0
summarybgp95385.0
summarybgstdv142.3901
summaryfgk0.5857
summaryfgmad365.3471
summaryfgmean765.3965
summaryfgmedian716.0
summaryfgn34004.0
summaryfgp05233.0
summaryfgp951455.0
summaryfgstdv375.6748
tsnr35.93522548920009
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