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sub-001_ses-003_task-bht_dir-LR_bold.html
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<title>sub-001_ses-003_task-bht_dir-LR_bold :: MRIQC's BOLD fMRI report</title>
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<li><a class="dropdown-item" href="#datatype-figures_desc-stdev_direction-LR_echo-2_session-003_subject-001_suffix-bold_task-bht">Reports for: echo <span class="bids-entity">2</span>.</a></li>
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<a class="nav-link dropdown-toggle" id="navbarExtended echo-wise reports" role="button" data-bs-toggle="dropdown" aria-expanded="false" href="#Extended echo-wise reports">
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<li><a class="dropdown-item" href="#datatype-figures_desc-mean_direction-LR_echo-1_session-003_subject-001_suffix-bold_task-bht">Reports for: echo <span class="bids-entity">1</span>.</a></li>
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<div id="Basic echo-wise reports" class="mt-5">
<h1 class="sub-report-title pt-5 ps-4">Basic echo-wise reports</h1>
<div id="datatype-figures_desc-stdev_direction-LR_echo-1_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">1</span>.</h2><h3 class="run-title mt-3">Standard deviation of signal through time</h3><p class="elem-caption">The voxel-wise standard deviation of the signal (variability along time).</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-stdev_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-background_direction-LR_echo-1_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">View of the background of the voxel-wise average of the BOLD timeseries</h3><p class="elem-caption">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.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-background_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-zoomed_direction-LR_echo-1_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Voxel-wise average of BOLD time-series, zoomed-in covering just the brain</h3><p class="elem-caption">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.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-zoomed_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-carpet_direction-LR_echo-1_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Carpetplot and nuisance signals</h3><p class="elem-caption">The so-called «carpetplot» may assist in assessing head-motion derived artifacts and respiation effects.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-carpet_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-stdev_direction-LR_echo-2_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">2</span>.</h2><h3 class="run-title mt-3">Standard deviation of signal through time</h3><p class="elem-caption">The voxel-wise standard deviation of the signal (variability along time).</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-stdev_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-background_direction-LR_echo-2_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">View of the background of the voxel-wise average of the BOLD timeseries</h3><p class="elem-caption">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.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-background_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-zoomed_direction-LR_echo-2_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Voxel-wise average of BOLD time-series, zoomed-in covering just the brain</h3><p class="elem-caption">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.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-zoomed_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-carpet_direction-LR_echo-2_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Carpetplot and nuisance signals</h3><p class="elem-caption">The so-called «carpetplot» may assist in assessing head-motion derived artifacts and respiation effects.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-carpet_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-stdev_direction-LR_echo-3_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">3</span>.</h2><h3 class="run-title mt-3">Standard deviation of signal through time</h3><p class="elem-caption">The voxel-wise standard deviation of the signal (variability along time).</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-stdev_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-background_direction-LR_echo-3_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">View of the background of the voxel-wise average of the BOLD timeseries</h3><p class="elem-caption">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.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-background_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-background_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-zoomed_direction-LR_echo-3_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Voxel-wise average of BOLD time-series, zoomed-in covering just the brain</h3><p class="elem-caption">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.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-zoomed_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-carpet_direction-LR_echo-3_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Carpetplot and nuisance signals</h3><p class="elem-caption">The so-called «carpetplot» may assist in assessing head-motion derived artifacts and respiation effects.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-carpet_bold.svg</a></small>
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<div id="datatype-figures_desc-stdev_direction-LR_echo-4_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">4</span>.</h2><h3 class="run-title mt-3">Standard deviation of signal through time</h3><p class="elem-caption">The voxel-wise standard deviation of the signal (variability along time).</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-stdev_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-stdev_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-stdev_bold.svg</a></small>
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<div id="datatype-figures_desc-background_direction-LR_echo-4_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">View of the background of the voxel-wise average of the BOLD timeseries</h3><p class="elem-caption">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.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-background_bold.svg" style="width: 100%" />
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<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-background_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-background_bold.svg</a></small>
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<h3 class="run-title mt-3">Voxel-wise average of BOLD time-series, zoomed-in covering just the brain</h3><p class="elem-caption">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.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-zoomed_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-zoomed_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-zoomed_bold.svg</a></small>
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<div id="datatype-figures_desc-carpet_direction-LR_echo-4_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Carpetplot and nuisance signals</h3><p class="elem-caption">The so-called «carpetplot» may assist in assessing head-motion derived artifacts and respiation effects.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-carpet_bold.svg" style="width: 100%" />
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<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-carpet_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-carpet_bold.svg</a></small>
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<div id="Extended echo-wise reports" class="mt-5">
<h1 class="sub-report-title pt-5 ps-4">Extended echo-wise reports</h1>
<div id="datatype-figures_desc-mean_direction-LR_echo-1_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">1</span>.</h2><h3 class="run-title mt-3">Voxel-wise average of BOLD time-series</h3><p class="elem-caption">The average signal calculated across the last axis (time).</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-mean_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-mean_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-1_desc-mean_bold.svg</a></small>
</div>
<div id="datatype-figures_desc-mean_direction-LR_echo-2_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">2</span>.</h2><h3 class="run-title mt-3">Voxel-wise average of BOLD time-series</h3><p class="elem-caption">The average signal calculated across the last axis (time).</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-mean_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-mean_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-2_desc-mean_bold.svg</a></small>
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<div id="datatype-figures_desc-mean_direction-LR_echo-3_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">3</span>.</h2><h3 class="run-title mt-3">Voxel-wise average of BOLD time-series</h3><p class="elem-caption">The average signal calculated across the last axis (time).</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-mean_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-mean_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-3_desc-mean_bold.svg</a></small>
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<div id="datatype-figures_desc-mean_direction-LR_echo-4_session-003_subject-001_suffix-bold_task-bht" class="ps-4 pe-4 mb-2">
<h2 class="sub-report-group mt-4">Reports for: echo <span class="bids-entity">4</span>.</h2><h3 class="run-title mt-3">Voxel-wise average of BOLD time-series</h3><p class="elem-caption">The average signal calculated across the last axis (time).</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-mean_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-mean_bold.svg" target="_blank">sub-001/figures/sub-001_ses-003_task-bht_dir-LR_echo-4_desc-mean_bold.svg</a></small>
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<h2 class="sub-report-group mt-4">Reproducibility and provenance information</h2><p class="elem-caption">Thanks for using <em>MRIQC</em>. The following information may assist in
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<tr><td colspan=2>Execution environment</td><td>singularity</td></tr>
<tr><td colspan=2>Input filename</td><td><BIDS root>/sub-001/ses-003/func/sub-001_ses-003_task-bht_dir-LR_echo-1_part-mag_bold.nii.gz</td></tr>
<tr><td>Versions</td><td>MRIQC</td><td>24.1.0.dev0+g3fe90466.d20240417</td></tr>
<tr><td>Versions</td><td>NiPype</td><td>1.8.6</td></tr>
<tr><td>Versions</td><td>TemplateFlow</td><td>24.2.0</td></tr>
<tr><td colspan=2>md5sum</td><td>d2d68dd524aa72ec0a3a6522fb776816</td></tr>
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Dataset Information
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<table id="about-metadata-table-1" class="table table-sm table-striped">
<tr><td>AcquisitionDuration</td><td>361.475</td></tr>
<tr><td>AcquisitionMatrixPE</td><td>76</td></tr>
<tr><td>AcquisitionTime</td><td>10:34:21.257500</td></tr>
<tr><td>B0FieldSource</td><td>['003pepolarbold', '003phasediff']</td></tr>
<tr><td>BandwidthPerPixelPhaseEncode</td><td>40.486</td></tr>
<tr><td>BaseResolution</td><td>102</td></tr>
<tr><td>DerivedVendorReportedEchoSpacing</td><td>0.000649997</td></tr>
<tr><td>DwellTime</td><td>2.5e-06</td></tr>
<tr><td>EchoNumber</td><td>1</td></tr>
<tr><td>EchoTime</td><td>0.0126</td></tr>
<tr><td>EchoTrainLength</td><td>28</td></tr>
<tr><td>EffectiveEchoSpacing</td><td>0.000324999</td></tr>
<tr><td>ImageOrientationPatientDICOM</td><td>[0.998371, 0.0143984, 0.0552065, 0.012198, 0.891389, -0.453076]</td></tr>
<tr><td>ImageType</td><td>['ORIGINAL', 'PRIMARY', 'FMRI', 'NONE']</td></tr>
<tr><td>ImageTypeText</td><td>['ORIGINAL', 'PRIMARY', 'M', 'MB', 'TE1', 'DIS2D']</td></tr>
<tr><td>InPlanePhaseEncodingDirectionDICOM</td><td>ROW</td></tr>
<tr><td>PercentPhaseFOV</td><td>74.5098</td></tr>
<tr><td>PercentSampling</td><td>100</td></tr>
<tr><td>PhaseEchoTime1</td><td>0.0126</td></tr>
<tr><td>PhaseEchoTime2</td><td>0.0322</td></tr>
<tr><td>PhaseEncodingDirection</td><td>i-</td></tr>
<tr><td>PhaseResolution</td><td>1</td></tr>
<tr><td>PixelBandwidth</td><td>1961</td></tr>
<tr><td>ProtocolName</td><td>func-bold_task-bht_dir-LR__cmrr_me4_sms4</td></tr>
<tr><td>PulseSequenceName</td><td>epfid2d4_76</td></tr>
<tr><td>ReceiveCoilActiveElements</td><td>HC1-7;NC1</td></tr>
<tr><td>ReconMatrixPE</td><td>76</td></tr>
<tr><td>RefLinesPE</td><td>18</td></tr>
<tr><td>RepetitionTime</td><td>1.6</td></tr>
<tr><td>SequenceVariant</td><td>SK\SS\OSP</td></tr>
<tr><td>SeriesDescription</td><td>func-bold_task-bht_dir-LR__cmrr_me4_sms4</td></tr>
<tr><td>SeriesNumber</td><td>23</td></tr>
<tr><td>ShimSetting</td><td>[8238, -5615, -6020, 683, -52, -293, -35, 9]</td></tr>
<tr><td>SliceThickness</td><td>2.2</td></tr>
<tr><td>SliceTiming</td><td>[0, 0.8425, 0.105, 0.9475, 0.21, 1.0525, 0.315, 1.16, 0.4225, 1.265, 0.5275, 1.37, 0.6325, 1.475, 0.7375, 0, 0.8425, 0.105, 0.9475, 0.21, 1.0525, 0.315, 1.16, 0.4225, 1.265, 0.5275, 1.37, 0.6325, 1.475, 0.7375, 0, 0.8425, 0.105, 0.9475, 0.21, 1.0525, 0.315, 1.16, 0.4225, 1.265, 0.5275, 1.37, 0.6325, 1.475, 0.7375, 0, 0.8425, 0.105, 0.9475, 0.21, 1.0525, 0.315, 1.16, 0.4225, 1.265, 0.5275, 1.37, 0.6325, 1.475, 0.7375]</td></tr>
<tr><td>SpacingBetweenSlices</td><td>2.2</td></tr>
<tr><td>TotalReadoutTime</td><td>0.0243749</td></tr>
<tr><td>TxRefAmp</td><td>250.232</td></tr>
<tr><td>WipMemBlock</td><td>389917b8-1cb0-4b2a-b55d-4f47c3f46d00||Sequence: R017 nxva30a/master r/d34922cc2+; Jun 27 2022 13:20:16 by eja</td></tr>
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Extracted Image quality metrics (IQMs)
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<tr><td colspan=3>aor</td><td>[0.0003878640776699029, 0.0004100485436893205, 0.0004899029126213593, 0.0006036893203883496]</td></tr>
<tr><td colspan=3>aqi</td><td>[0.006931142427184466, 0.00936334441747573, 0.015561334466019419, 0.026069519902912622]</td></tr>
<tr><td colspan=3>dummy_trs</td><td>1</td></tr>
<tr><td>dvars</td><td colspan=2>nstd</td><td>39.979323819707304</td></tr>
<tr><td>dvars</td><td colspan=2>std</td><td>1.0212031990731711</td></tr>
<tr><td>dvars</td><td colspan=2>vstd</td><td>0.9983056500975608</td></tr>
<tr><td colspan=3>efc</td><td>0.6562</td></tr>
<tr><td colspan=3>fber</td><td>114.261</td></tr>
<tr><td>fd</td><td colspan=2>mean</td><td>0.19292748291867615</td></tr>
<tr><td>fd</td><td colspan=2>num</td><td>89</td></tr>
<tr><td>fd</td><td colspan=2>perc</td><td>43.20388349514563</td></tr>
<tr><td>fwhm</td><td colspan=2>avg</td><td>3.919659968409339</td></tr>
<tr><td>fwhm</td><td colspan=2>x</td><td>3.7275281929800013</td></tr>
<tr><td>fwhm</td><td colspan=2>y</td><td>3.82241089438561</td></tr>
<tr><td>fwhm</td><td colspan=2>z</td><td>4.209040817862406</td></tr>
<tr><td colspan=3>gcor</td><td>[0.0210638, 0.0204051, 0.0193479, 0.0159748]</td></tr>
<tr><td>gsr</td><td colspan=2>x</td><td>0.15810786187648773</td></tr>
<tr><td>gsr</td><td colspan=2>y</td><td>0.026720812544226646</td></tr>
<tr><td>size</td><td colspan=2>t</td><td>206</td></tr>
<tr><td>size</td><td colspan=2>x</td><td>76</td></tr>
<tr><td>size</td><td colspan=2>y</td><td>102</td></tr>
<tr><td>size</td><td colspan=2>z</td><td>60</td></tr>
<tr><td colspan=3>snr</td><td>2.5140983985903165</td></tr>
<tr><td>spacing</td><td colspan=2>tr</td><td>1.600000023841858</td></tr>
<tr><td>spacing</td><td colspan=2>x</td><td>2.196079969406128</td></tr>
<tr><td>spacing</td><td colspan=2>y</td><td>2.196079969406128</td></tr>
<tr><td>spacing</td><td colspan=2>z</td><td>2.200000047683716</td></tr>
<tr><td>summary</td><td>bg</td><td>k</td><td>5.6484</td></tr>
<tr><td>summary</td><td>bg</td><td>mad</td><td>70.2725</td></tr>
<tr><td>summary</td><td>bg</td><td>mean</td><td>182.1567</td></tr>
<tr><td>summary</td><td>bg</td><td>median</td><td>74.0</td></tr>
<tr><td>summary</td><td>bg</td><td>n</td><td>333026.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p05</td><td>1.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p95</td><td>767.0</td></tr>
<tr><td>summary</td><td>bg</td><td>stdv</td><td>255.8597</td></tr>
<tr><td>summary</td><td>fg</td><td>k</td><td>1.2426</td></tr>
<tr><td>summary</td><td>fg</td><td>mad</td><td>296.7327</td></tr>
<tr><td>summary</td><td>fg</td><td>mean</td><td>823.536</td></tr>
<tr><td>summary</td><td>fg</td><td>median</td><td>787.0</td></tr>
<tr><td>summary</td><td>fg</td><td>n</td><td>132094.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p05</td><td>394.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p95</td><td>1377.0</td></tr>
<tr><td>summary</td><td>fg</td><td>stdv</td><td>313.0335</td></tr>
<tr><td colspan=3>tsnr</td><td>33.84215935267275</td></tr>
</table>
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</div>
<div class="form-check form-switch small">
<input class="form-check-input" type="checkbox" name="ghost-other" id="qcartifacts-item-9" />
<label class="form-check-label" for="qcartifacts-item-9">Other ghosts (for example, <abbr title="radiofrequency">RF</abbr> spoiling)</label>
</div>
<div class="form-check form-switch small">
<input class="form-check-input" type="checkbox" name="inu" id="qcartifacts-item-10" />
<label class="form-check-label" for="qcartifacts-item-10">Intensity non-uniformity (B<sub>1</sub> bias)</label>
</div>
<div class="form-check form-switch small">
<input class="form-check-input" type="checkbox" name="field-variation" id="qcartifacts-item-11" />
<label class="form-check-label" for="qcartifacts-item-11">Temporal B<sub>1</sub> field non-uniformity variation</label>
</div>
<div class="form-check form-switch small">
<input class="form-check-input" type="checkbox" name="processing" id="qcartifacts-item-12" />
<label class="form-check-label" for="qcartifacts-item-12">Processing such as denoising, defacing or resamplings happened</label>
</div>
<div class="form-check form-switch small">
<input class="form-check-input" type="checkbox" name="uncategorized" id="qcartifacts-item-13" />
<label class="form-check-label" for="qcartifacts-item-13">Other uncategorized artifact(s)</label>
</div>
</fieldset>
</div> <!-- accordion-body -->
</div> <!-- accordion-collapse -->
</div> <!-- accordion-item -->
<div class="accordion-item">
<h2 class="accordion-header" id="qcextra-head">
<button class="accordion-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#qcextra-collapse" aria-expanded="false" aria-controls="qcextra-collapse">
Extra details
</button>
</h2>
<div id="qcextra-collapse" class="accordion-collapse collapse" aria-labelledby="qcextra-head">
<div class="accordion-body">
<div class="input-group">
<span class="input-group-text">Comments</span>
<textarea class="form-control" aria-label="Comments" id="qcextra-comments"></textarea>
</div>
<p style="margin-top: 20px; font-weight: bold">Rater confidence</p>
<input type="range" min="0.0" max="4.0" step="0.05" value="3.5" id="qcextra-confidence" class="slider" style="margin-left: 22%;width: 56%;">
<ul class="list-group list-group-horizontal slider-labels" style="width: 100%">
<li class="list-group-item list-group-item-warning small" style="width: 50%; text-align:center">Doubtful</li>
<li class="list-group-item list-group-item-success bg-success text-white small" style="width: 50%; text-align:center">Confident</li>
</ul>
</div> <!-- accordion-body -->
</div> <!-- accordion-collapse -->
</div> <!-- accordion-item -->
</div>
<div style="margin-top: 10px">
<a class="btn btn-primary disabled" id="btn-download" href="">Download</a>
</div>
<script type="text/javascript">
var MINIMUM_RATING_TIME = 10
$('#qcslider').on('input', function() {
if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
$('#btn-download').removeClass('disabled');
$('#btn-download').removeAttr('aria-disabled');
$('#btn-post').removeAttr('disabled');
};
$('#qcslider-collapse .list-group-item').removeClass(function(index, classname) {
return (classname.match(/(^|\s)bg-\S+/g) || []).join(' ');
});
$('#qcslider-collapse .list-group-item').removeClass(function(index, classname) {
return (classname.match(/(^|\s)text-\S+/g) || []).join(' ');
});
if ( $(this).val() < 1.5 ) {
$('#qcslider-collapse .list-group-item-danger').addClass('bg-danger text-white');
} else if ( $(this).val() > 3.5 ) {
$('#qcslider-collapse .list-group-item-success').addClass('bg-success text-white');
} else if ( $(this).val() < 2.5 ) {
$('#qcslider-collapse .list-group-item-warning').addClass('bg-warning text-dark');
} else {
$('#qcslider-collapse .list-group-item-primary').addClass('bg-primary text-white');
};
var payload = read_form();
});
$('#qcextra-confidence').on('input', function() {
if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
$('#btn-download').removeClass('disabled');
$('#btn-download').removeAttr('aria-disabled');
$('#btn-post').removeAttr('disabled');
};
$('#qcextra-collapse .list-group-item').removeClass(function(index, classname) {
return (classname.match(/(^|\s)bg-\S+/g) || []).join(' ');
});
$('#qcextra-collapse .list-group-item').removeClass(function(index, classname) {
return (classname.match(/(^|\s)text-\S+/g) || []).join(' ');
});
if ( $(this).val() < 2.0 ) {
$('#qcextra-collapse .list-group-item-warning').addClass('bg-warning text-dark');
} else {
$('#qcextra-collapse .list-group-item-success').addClass('bg-success text-white');
};
var payload = read_form();
});
$('#qcextra-comments').bind('input propertychange', function() {
if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
$('#btn-download').removeClass('disabled');
$('#btn-download').removeAttr('aria-disabled');
$('#btn-post').removeAttr('disabled');
};
});
$( '#btn-post' ).click( function() {
var payload = read_form();
var md5sum = "unspecified";
var params = {
'rating': payload['rating'],
'md5sum': md5sum,
'name': "",
'comment': JSON.stringify(payload['artifacts'])
};
// disable development releases
var authorization = $(this).val();
var ratingReq = new XMLHttpRequest();
ratingReq.open("POST", "https://mriqc.nimh.nih.gov:443/api/v1/rating");
ratingReq.setRequestHeader("Content-Type", "application/json;charset=UTF-8");
ratingReq.setRequestHeader("Authorization", authorization);
ratingReq.onload = function () {
status = ratingReq.status;
$('#btn-post').removeClass('btn-primary');
$('#btn-post').attr('disabled', true);
$('#btn-post').attr('aria-disabled', true);
$('#btn-post').prop('disabled');
$('#btn-post').addClass('disabled');
$('#btn-post').removeClass('active');
if (status === "201") {
$('#btn-post').addClass('btn-success');
$('#btn-post').html('Posted!');
} else {
$('#btn-post').addClass('btn-danger');
$('#btn-post').html('Failed');
};
};
ratingReq.send(JSON.stringify(params));
});
$( 'body' ).on( 'click', '#qcartifacts-group input', function(e) {
if ( (Date.now() - timestamp) / 1000 > MINIMUM_RATING_TIME) {
$('#btn-download').removeClass('disabled');
$('#btn-download').removeAttr('aria-disabled');
$('#btn-post').removeAttr('disabled');
};
var payload = read_form();
});
$( 'body' ).on( 'click', '#qcrating-toggler', function(e) {
toggle_rating();
});
</script>
</div>
<script type="text/javascript">
function toggle(id) {
var element = document.getElementById(id);
if(element.style.display == 'block')
element.style.display = 'none';
else
element.style.display = 'block';
}
</script>
</body>
</html>