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-24/figures/sub-24_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-24/figures/sub-24_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-24/figures/sub-24_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-24/figures/sub-24_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-24/figures/sub-24_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-24/figures/sub-24_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-24/figures/sub-24_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-24/figures/sub-24_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-24/func/sub-24_task-asrt_run-2_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sumd2ec544bb1cca760e621d67be3bcdc12

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime12:53:52.060000
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[0.999608, 0.0278645, -0.00273555, -0.0279216, 0.99933, -0.0236776]
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
SAR0.114221
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_2
SeriesNumber3
ShimSetting[-9694, -13622, -8350, 349, -175, -186, -879, -271]
SliceThickness4
SliceTiming[0.99, 0, 1.0575, 0.0675, 1.1225, 0.1325, 1.1875, 0.2, 1.255, 0.265, 1.32, 0.33, 1.3875, 0.3975, 1.4525, 0.4625, 1.5175, 0.53, 1.585, 0.595, 1.65, 0.66, 1.7175, 0.7275, 1.7825, 0.7925, 1.8475, 0.8575, 1.915, 0.925]
SoftwareVersionssyngo MR D13C
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp300.808
dcmmetaaffine[[-2.998823881149292, -0.08376473188400269, -0.009954940527677536, 97.79170989990234], [-0.08359362185001373, 2.9979889392852783, -0.11397455632686615, -119.44702911376953], [-0.00820663571357727, 0.0710328072309494, 4.798636436462402, -78.31781768798828], [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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aor0.00909412087912088
aqi0.012699398131868133
dummy_trs0
dvarsnstd27.399264096473853
dvarsstd1.1844957901377409
dvarsvstd0.9746417624793381
efc0.5694
fber205.0481
fdmean0.24755084462144272
fdnum138
fdperc37.91208791208791
fwhmavg3.5141457916815546
fwhmx3.8689666666666667
fwhmy3.528866666666667
fwhmz3.144604041711329
gcor0.0794006
gsrx0.13146661221981049
gsry-0.022665219381451607
sizet364
sizex64
sizey64
sizez30
snr1.9468126064374205
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk19.8101
summarybgmad33.7984
summarybgmean96.9586
summarybgmedian49.0
summarybgn93053.0
summarybgp0525.0
summarybgp95362.0
summarybgstdv132.0248
summaryfgk0.4225
summaryfgmad340.355
summaryfgmean737.744
summaryfgmedian695.0
summaryfgn29827.0
summaryfgp05209.0
summaryfgp951397.0
summaryfgstdv356.9878
tsnr39.73333167494275
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