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-06/figures/sub-06_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-06/figures/sub-06_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-06/figures/sub-06_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-06/figures/sub-06_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-06/figures/sub-06_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-06/figures/sub-06_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-06/figures/sub-06_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-06/figures/sub-06_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-06/func/sub-06_task-asrt_run-2_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum95f5c8d5f03a66b69bff97d9d5c6ffdf

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime14:17:21.830000
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[0.999794, -0.0197159, 0.00478863, 0.019197, 0.995643, 0.0912464]
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
SAR0.132537
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_2
SeriesNumber3
ShimSetting[-9711, -13672, -8149, 234, -241, -223, -483, -192]
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, 1.715, 0.7275, 1.7825, 0.7925, 1.8475, 0.8575, 1.915, 0.925]
SoftwareVersionssyngo MR D13C
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp326.056
dcmmetaaffine[[-2.999382495880127, 0.057591088116168976, 0.03152051940560341, 91.69941711425781], [0.059147756546735764, 2.9869298934936523, 0.43745118379592896, -127.60904693603516], [0.01436589378863573, -0.27373912930488586, 4.77992057800293, -58.57301712036133], [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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aor0.0027438292011019287
aqi0.00606911867768595
dummy_trs1
dvarsnstd19.308661553093955
dvarsstd1.3309158845856355
dvarsvstd1.009656851740332
efc0.6219
fber142.278
fdmean0.08632200618099063
fdnum8
fdperc2.203856749311295
fwhmavg3.620547286370897
fwhmx3.7893666666666665
fwhmy3.8435666666666664
fwhmz3.228708525779358
gcor0.0147685
gsrx0.08478519320487976
gsry0.0244000107049942
sizet363
sizex64
sizey64
sizez30
snr1.8725057366573765
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.799999713897705
summarybgk19.3712
summarybgmad41.8682
summarybgmean138.7697
summarybgmedian59.0
summarybgn86447.0
summarybgp0528.0
summarybgp95550.0
summarybgstdv198.7793
summaryfgk1.2618
summaryfgmad353.1534
summaryfgmean754.4227
summaryfgmedian700.0
summaryfgn36433.0
summaryfgp05246.0
summaryfgp951436.0
summaryfgstdv373.8255
tsnr75.7352008013986
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