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-14/figures/sub-14_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-14/figures/sub-14_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-14/figures/sub-14_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-14/figures/sub-14_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-14/figures/sub-14_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-14/figures/sub-14_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-14/figures/sub-14_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-14/figures/sub-14_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-14/func/sub-14_task-asrt_run-2_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sumb89afc8525ee4ff19627aeb905102a50

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime14:18:55.467500
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[0.999214, 0.0376438, 0.012434, -0.0366395, 0.996661, -0.072974]
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
SAR0.124522
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_2
SeriesNumber3
ShimSetting[-9691, -13752, -8110, 334, -166, -176, -90, -236]
SliceThickness4
SliceTiming[0.99, 0, 1.055, 0.065, 1.1225, 0.1325, 1.1875, 0.1975, 1.255, 0.265, 1.32, 0.33, 1.385, 0.395, 1.4525, 0.4625, 1.5175, 0.5275, 1.5825, 0.595, 1.65, 0.66, 1.715, 0.725, 1.7825, 0.7925, 1.8475, 0.8575, 1.9125, 0.925]
SoftwareVersionssyngo MR D13C
SpacingBetweenSlices4.8
StationNameAWP45758
TaskNameasrt
TotalReadoutTime0.0390594
TxRefAmp313.447
dcmmetaaffine[[-2.9976415634155273, -0.10991852730512619, 0.07266952842473984, 98.93960571289062], [-0.11293131113052368, 2.9899818897247314, -0.34781283140182495, -115.78607940673828], [0.03730197995901108, 0.21892185509204865, 4.786830425262451, -60.59867477416992], [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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aqi0.009184369806629834
dummy_trs2
dvarsnstd21.278517081080327
dvarsstd1.103976945152354
dvarsvstd0.9140208913850416
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fber252.4241
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fdnum51
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sizet362
sizex64
sizey64
sizez30
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spacingx3.0
spacingy3.0
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summarybgk21.8017
summarybgmad30.6022
summarybgmean114.5325
summarybgmedian47.0
summarybgn89006.0
summarybgp0526.0
summarybgp95467.0
summarybgstdv171.9412
summaryfgk0.8624
summaryfgmad403.5197
summaryfgmean836.0124
summaryfgmedian752.0
summaryfgn33874.0
summaryfgp05270.0
summaryfgp951667.0
summaryfgstdv435.2482
tsnr50.22546459501609
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