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-05/figures/sub-05_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-05/figures/sub-05_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-05/figures/sub-05_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-05/figures/sub-05_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-05/figures/sub-05_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-05/figures/sub-05_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-05/figures/sub-05_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-05/figures/sub-05_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-05/func/sub-05_task-asrt_run-2_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sum4aed9141356436a2f2a95dd167bbbfe4

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime12:51:14.995000
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[0.999954, 0.00851127, -0.00439388, -0.00872647, 0.998633, -0.0515323]
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
ReceiveCoilActiveElementsHC1-7
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.10616
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_2
SeriesNumber3
ShimSetting[-9752, -13607, -8153, 290, -454, -271, -450, -118]
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, 1.65, 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
TxRefAmp304.899
dcmmetaaffine[[-2.9998624324798584, -0.026179399341344833, -0.018956486135721207, 94.98206329345703], [-0.02553381770849228, 2.9958996772766113, -0.24752777814865112, -119.23499298095703], [-0.013181637041270733, 0.15459692478179932, 4.793575763702393, -76.87112426757812], [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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aor0.0025254038997214482
aqi0.005858800557103064
dummy_trs5
dvarsnstd24.03945480377094
dvarsstd1.2998226442458107
dvarsvstd0.9916654013687153
efc0.5866
fber194.4506
fdmean0.11961882122448256
fdnum44
fdperc12.256267409470752
fwhmavg3.7827485667302123
fwhmx4.162733333333334
fwhmy3.8348666666666666
fwhmz3.350645700190636
gcor0.0421731
gsrx0.14733313024044037
gsry-0.0030063807498663664
sizet359
sizex64
sizey64
sizez30
snr1.6955254102606907
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk32.8473
summarybgmad30.829
summarybgmean130.8849
summarybgmedian50.0
summarybgn88820.0
summarybgp0528.0
summarybgp95546.0
summarybgstdv216.337
summaryfgk1.0314
summaryfgmad373.8429
summaryfgmean759.2476
summaryfgmedian696.0
summaryfgn34060.0
summaryfgp05167.0
summaryfgp951531.0
summaryfgstdv410.4862
tsnr62.30239356891252
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