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-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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/figures/sub-01_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-01/func/sub-01_task-asrt_run-2_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum9cbf6cdd2eb7605aae34bfb6a91aeec4

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime09:59:33.257500
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_2
PulseSequenceDetails%SiemensSeq%\ep2d_bold
ReceiveCoilActiveElementsHC1-6
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.100114
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_2
SeriesNumber3
ShimSetting[-9711, -13608, -8083, 287, -248, 60, -352, -169]
SliceThickness4
SliceTiming[0.99, 0, 1.055, 0.065, 1.12, 0.13, 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, 1.6475, 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
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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aor0.003109807692307692
aqi0.004607343137362637
dummy_trs0
dvarsnstd21.585564673663914
dvarsstd1.4237604528374666
dvarsvstd0.9348929614876034
efc0.6043
fber165.8802
fdmean0.049128209264064505
fdnum9
fdperc2.4725274725274726
fwhmavg3.936986182708712
fwhmx4.033766666666667
fwhmy4.173566666666667
fwhmz3.603625214792801
gcor0.0129965
gsrx0.05161907151341438
gsry0.06315672397613525
sizet364
sizex64
sizey64
sizez30
snr1.7686830714964477
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.799999713897705
summarybgk25.9067
summarybgmad41.6758
summarybgmean133.6272
summarybgmedian56.0
summarybgn86801.0
summarybgp0526.0
summarybgp95523.0
summarybgstdv202.3153
summaryfgk0.6173
summaryfgmad393.1788
summaryfgmean791.7043
summaryfgmedian720.0
summaryfgn36079.0
summaryfgp05253.0
summaryfgp951552.0
summaryfgstdv407.0769
tsnr75.64881562907249
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