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-10/figures/sub-10_task-asrt_run-1_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-10/figures/sub-10_task-asrt_run-1_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-10/figures/sub-10_task-asrt_run-1_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-10/figures/sub-10_task-asrt_run-1_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-10/figures/sub-10_task-asrt_run-1_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-10/figures/sub-10_task-asrt_run-1_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-10/figures/sub-10_task-asrt_run-1_desc-norm_bold.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-10/figures/sub-10_task-asrt_run-1_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-10/func/sub-10_task-asrt_run-1_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sumf4c7b284d3f9da1bcb2313fbaf5db3ac

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime12:28:38.430000
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[0.999856, -0.000517488, 0.0169612, 0.00174508, 0.997371, -0.072442]
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_1
PulseSequenceDetails%SiemensSeq%\ep2d_bold
ReceiveCoilActiveElementsHC1-7
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.130294
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_1
SeriesNumber2
ShimSetting[-9713, -13766, -8198, 205, -445, -466, 203, -142]
SliceThickness4
SliceTiming[0.99, 0, 1.055, 0.065, 1.1225, 0.1325, 1.1875, 0.1975, 1.2525, 0.2625, 1.32, 0.33, 1.385, 0.395, 1.4525, 0.4625, 1.5175, 0.5275, 1.5825, 0.5925, 1.65, 0.66, 1.715, 0.725, 1.7825, 0.7925, 1.8475, 0.8575, 1.9125, 0.9225]
SoftwareVersionssyngo MR D13C
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp325.437
dcmmetaaffine[[-2.999567985534668, 0.005235239397734404, 0.0810195654630661, 94.10961151123047], [0.0015524652553722262, 2.9921133518218994, -0.34781375527381897, -114.05382537841797], [0.0508834607899189, 0.2173261046409607, 4.786695957183838, -80.93731689453125], [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, 514]
dcmmetaslice_dim2
dcmmetaversion0.6
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aor0.001343093385214008
aqi0.0030247823443579768
dummy_trs0
dvarsnstd21.660390623294333
dvarsstd1.3079654178752456
dvarsvstd0.9848594933138412
efc0.5862
fber175.5565
fdmean0.10773386921242556
fdnum20
fdperc3.8910505836575875
fwhmavg3.228679223561373
fwhmx3.4042666666666666
fwhmy3.4181666666666666
fwhmz2.863604337350786
gcor0.119185
gsrx0.08110349625349045
gsry0.022349810227751732
sizet514
sizex64
sizey64
sizez30
snr1.7516302694343622
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.799999713897705
summarybgk11.8212
summarybgmad33.1855
summarybgmean113.6192
summarybgmedian52.0
summarybgn90693.0
summarybgp0528.0
summarybgp95445.0
summarybgstdv152.6886
summaryfgk0.241
summaryfgmad383.6853
summaryfgmean727.172
summaryfgmedian684.0
summaryfgn32187.0
summaryfgp05132.0
summaryfgp951442.0
summaryfgstdv390.4873
tsnr77.4949754383415
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