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-04/figures/sub-04_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-04/figures/sub-04_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-04/figures/sub-04_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-04/figures/sub-04_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-04/figures/sub-04_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-04/figures/sub-04_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-04/figures/sub-04_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-04/figures/sub-04_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-04/func/sub-04_task-asrt_run-1_bold.nii.gz
VersionsMRIQC24.1.0.dev0+gd5b13cb5.d20240826
VersionsNiPype1.8.6
VersionsTemplateFlow24.2.0
md5sumb475e8a2f357040337a3c119c6013d02

AcquisitionMatrixPE64
AcquisitionNumber1
AcquisitionTime11:08:6.412500
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[0.999945, 0.0104749, -0.000174416, -0.0104718, 0.999862, 0.0129091]
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
ReceiveCoilActiveElementsHC1-6
ReceiveCoilNameHeadNeck_64
ReconMatrixPE64
RepetitionTime2
SAR0.137216
ScanOptionsFS
ScanningSequenceEP
SequenceName*epfid2d1_64
SequenceVariantSK
SeriesDescriptionEPI_DGIST_1
SeriesNumber2
ShimSetting[-9747, -13585, -8102, 441, -462, 10, -605, 27]
SliceThickness4
SliceTiming[0.9875, 0, 1.055, 0.065, 1.12, 0.13, 1.1875, 0.1975, 1.2525, 0.2625, 1.3175, 0.3275, 1.385, 0.395, 1.45, 0.46, 1.5175, 0.5275, 1.5825, 0.5925, 1.6475, 0.6575, 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
TxRefAmp313.727
dcmmetaaffine[[-2.999835252761841, -0.03141535073518753, -0.0014861435629427433, 94.7602767944336], [-0.03142472356557846, 2.9995856285095215, 0.06195134297013283, -117.08023071289062], [-0.0005232481635175645, -0.03872719407081604, 4.799600124359131, -77.41507720947266], [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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aqi0.006508497089843751
dummy_trs2
dvarsnstd20.51599378270061
dvarsstd1.2721077575146778
dvarsvstd0.959895560645793
efc0.5818
fber162.4413
fdmean0.09667893955005712
fdnum30
fdperc5.859375
fwhmavg3.452893016137294
fwhmx3.6866333333333334
fwhmy3.696066666666667
fwhmz2.975979048411884
gcor0.0436153
gsrx0.0734005719423294
gsry0.02607663720846176
sizet512
sizex64
sizey64
sizez30
snr1.9370825403454923
spacingtr2.0
spacingx3.0
spacingy3.0
spacingz4.800000190734863
summarybgk18.767
summarybgmad36.7089
summarybgmean96.8602
summarybgmedian53.0
summarybgn91461.0
summarybgp0525.0
summarybgp95338.0
summarybgstdv123.3835
summaryfgk0.2982
summaryfgmad343.8768
summaryfgmean707.6962
summaryfgmedian674.0
summaryfgn31419.0
summaryfgp05176.0
summaryfgp951334.0
summaryfgstdv347.9404
tsnr58.5985880731605
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