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-08/figures/sub-08_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-08/figures/sub-08_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-08/figures/sub-08_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-08/figures/sub-08_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-08/figures/sub-08_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-08/figures/sub-08_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-08/figures/sub-08_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-08/figures/sub-08_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-08/func/sub-08_task-asrt_run-3_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum53d14c208c3e7472d09d65993e525466

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime10:04:42.570000
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[0.999002, -0.0195593, -0.0401495, 0.0139496, 0.990676, -0.135525]
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
SAR0.123354
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_3
SeriesNumber4
ShimSetting[-9789, -13652, -8205, 132, -417, -440, -70, 15]
SliceThickness4
SliceTiming[0.99, 0, 1.055, 0.0675, 1.1225, 0.1325, 1.1875, 0.1975, 1.255, 0.265, 1.32, 0.33, 1.385, 0.395, 1.4525, 0.4625, 1.5175, 0.5275, 1.585, 0.595, 1.65, 0.66, 1.715, 0.725, 1.7825, 0.7925, 1.8475, 0.8575, 1.915, 0.925]
SoftwareVersionssyngo MR D13C
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp324.456
dcmmetaaffine[[-2.99700665473938, 0.04184882715344429, -0.20364437997341156, 95.37294006347656], [0.058678038418293, 2.972027063369751, -0.6471846103668213, -107.43185424804688], [-0.12044847756624222, 0.4065762758255005, 4.751808166503906, -83.9657211303711], [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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aor0.0033202770083102496
aqi0.00445445243767313
dummy_trs3
dvarsnstd20.07476540158331
dvarsstd1.2739189688333337
dvarsvstd0.9894577744444447
efc0.6005
fber155.3718
fdmean0.10979758667462541
fdnum9
fdperc2.4930747922437675
fwhmavg3.6916847875327736
fwhmx3.7513666666666663
fwhmy4.0365
fwhmz3.287187695931655
gcor0.0333573
gsrx0.09498926997184753
gsry0.026699762791395187
sizet361
sizex64
sizey64
sizez30
snr1.7572157098577625
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.799999713897705
summarybgk14.2024
summarybgmad40.211
summarybgmean141.5574
summarybgmedian58.0
summarybgn89822.0
summarybgp0529.0
summarybgp95573.0
summarybgstdv206.4222
summaryfgk0.4115
summaryfgmad411.2887
summaryfgmean795.4882
summaryfgmedian728.0
summaryfgn33058.0
summaryfgp05224.0
summaryfgp951560.0
summaryfgstdv414.2855
tsnr72.3434255188331
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