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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/func/sub-01_task-asrt_run-3_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sume673bdd917457b32f82e90af910e2dda

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime10:14:33.412500
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[0.99992, 0.00131466, -0.0126166, -0.00174519, 0.999414, -0.0341738]
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
SAR0.100114
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_3
SeriesNumber4
ShimSetting[-9711, -13608, -8083, 287, -248, 60, -352, -169]
SliceThickness4
SliceTiming[0.9875, 0, 1.055, 0.065, 1.12, 0.13, 1.1875, 0.1975, 1.2525, 0.2625, 1.3175, 0.3275, 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
TxRefAmp296.385
dcmmetaaffine[[-2.999758720397949, -0.005235570482909679, -0.06030861288309097, 95.28504180908203], [-0.003943988122045994, 2.9982430934906006, -0.16412654519081116, -118.28590393066406], [-0.037849828600883484, 0.10252128541469574, 4.79681396484375, -54.94788360595703], [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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aor0.002095013774104683
aqi0.004305689834710744
dummy_trs1
dvarsnstd20.65593022649172
dvarsstd1.329978153646409
dvarsvstd0.9222012948895024
efc0.6061
fber163.4329
fdmean0.05924238202385001
fdnum14
fdperc3.8567493112947657
fwhmavg4.110090352176383
fwhmx4.1716
fwhmy4.414066666666667
fwhmz3.7446043898624812
gcor0.0228449
gsrx0.057190995663404465
gsry0.07197272777557373
sizet363
sizex64
sizey64
sizez30
snr1.788076373380413
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.799999713897705
summarybgk23.6688
summarybgmad42.1133
summarybgmean135.7513
summarybgmedian56.0
summarybgn87183.0
summarybgp0526.0
summarybgp95538.0
summarybgstdv207.3969
summaryfgk0.7348
summaryfgmad382.5686
summaryfgmean779.7576
summaryfgmedian710.0
summaryfgn35697.0
summaryfgp05256.0
summaryfgp951521.0
summaryfgstdv397.0692
tsnr78.39393660705537
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