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-02/figures/sub-02_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-02/figures/sub-02_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-02/figures/sub-02_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-02/figures/sub-02_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-02/figures/sub-02_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-02/figures/sub-02_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-02/figures/sub-02_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-02/figures/sub-02_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-02/func/sub-02_task-asrt_run-3_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum1be953885ab88413cea3131fad6083c0

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime12:07:58.305000
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[0.99787, -0.0211641, 0.0617127, 0.0243874, 0.998352, -0.0519547]
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
ReceiveCoilActiveElementsHC1-7
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.104537
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_3
SeriesNumber4
ShimSetting[-9713, -13662, -8221, 248, -429, -506, -322, -279]
SliceThickness4
SliceTiming[0.99, 0, 1.055, 0.065, 1.12, 0.1325, 1.1875, 0.1975, 1.2525, 0.2625, 1.32, 0.33, 1.385, 0.395, 1.45, 0.46, 1.5175, 0.5275, 1.5825, 0.5925, 1.65, 0.66, 1.715, 0.725, 1.78, 0.79, 1.8475, 0.8575, 1.9125, 0.9225]
SoftwareVersionssyngo MR D13C
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp343.824
dcmmetaaffine[[-2.9936087131500244, 0.07316222041845322, 0.2904549241065979, 87.2884521484375], [0.06349220871925354, 2.9950549602508545, -0.2560752034187317, -114.00962829589844], [0.18513821065425873, 0.15586401522159576, 4.784356117248535, -78.91451263427734], [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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aor0.003204587912087912
aqi0.006640833489010988
dummy_trs0
dvarsnstd18.70519449165289
dvarsstd1.170350398016529
dvarsvstd0.972554585895317
efc0.6301
fber85.8301
fdmean0.10880583605952497
fdnum31
fdperc8.516483516483516
fwhmavg3.353984680938005
fwhmx3.5362333333333336
fwhmy3.4088666666666665
fwhmz3.1168540428140146
gcor0.046032
gsrx0.05102407932281494
gsry0.0037485165521502495
sizet364
sizex64
sizey64
sizez30
snr1.9081585558638343
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk14.5107
summarybgmad54.0437
summarybgmean141.0352
summarybgmedian71.0
summarybgn90460.0
summarybgp0529.0
summarybgp95519.0
summarybgstdv180.569
summaryfgk0.5824
summaryfgmad334.5651
summaryfgmean709.5623
summaryfgmedian657.0
summaryfgn32420.0
summaryfgp05229.0
summaryfgp951340.0
summaryfgstdv344.3057
tsnr66.64787353831343
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