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-17/figures/sub-17_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-17/figures/sub-17_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-17/figures/sub-17_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-17/figures/sub-17_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-17/figures/sub-17_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-17/figures/sub-17_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-17/figures/sub-17_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-17/figures/sub-17_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-17/func/sub-17_task-asrt_run-3_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum59da7508f31c0337121047dc1d6c929e

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime12:13:44.657500
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[0.999788, -0.0128284, 0.01611, 0.0139606, 0.997289, -0.0722514]
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
SAR0.105957
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_3
SeriesNumber4
ShimSetting[-9725, -13691, -8142, 319, -354, 59, -404, -111]
SliceThickness4
SliceTiming[0.9875, 0, 1.055, 0.065, 1.12, 0.13, 1.1875, 0.1975, 1.2525, 0.2625, 1.3175, 0.33, 1.385, 0.395, 1.45, 0.46, 1.5175, 0.5275, 1.5825, 0.5925, 1.6475, 0.6575, 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
TxRefAmp309.465
dcmmetaaffine[[-2.999363660812378, 0.0418817400932312, 0.07266952842473984, 91.05501556396484], [0.03848528489470482, 2.991866111755371, -0.34781286120414734, -120.73131561279297], [0.04833010956645012, 0.21675428748130798, 4.786830425262451, -66.98600769042969], [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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aor0.006356071428571428
aqi0.012335743324175825
dummy_trs0
dvarsnstd18.92925792112948
dvarsstd1.0633951233884293
dvarsvstd0.9204703664462814
efc0.5802
fber234.8563
fdmean0.10509095384588497
fdnum34
fdperc9.340659340659341
fwhmavg3.916473563720729
fwhmx4.169133333333334
fwhmy4.002433333333333
fwhmz3.577854024495521
gcor0.0270172
gsrx0.11923379451036453
gsry-0.01025791373103857
sizet364
sizex64
sizey64
sizez30
snr1.716811691384699
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk29.3501
summarybgmad29.0126
summarybgmean119.9945
summarybgmedian46.0
summarybgn88963.0
summarybgp0526.0
summarybgp95509.0
summarybgstdv195.863
summaryfgk1.8502
summaryfgmad363.6163
summaryfgmean782.123
summaryfgmedian704.0
summaryfgn33917.0
summaryfgp05262.0
summaryfgp951567.0
summaryfgstdv410.0564
tsnr43.42066641524434
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