ds005256-mriqc/sub-0029_ses-02_task-narratives_acq-mb8_run-01_bold.html
Felix Hoffstaedter ed77a02d27 [DATALAD RUNCMD] Compute MRIQC for sub-0029
=== Do not change lines below ===
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^^^ Do not change lines above ^^^
2025-09-19 01:13:12 +02:00

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<title>sub-0029_ses-02_task-narratives_acq-mb8_run-01_bold :: MRIQC's BOLD fMRI report</title>
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<li class="nav-item"><a class="nav-link" href="#Basic echo-wise reports">Basic echo-wise reports</a></li>
<li class="nav-item"><a class="nav-link" href="#Extended echo-wise reports">Extended echo-wise reports</a></li>
<li class="nav-item"><a class="nav-link" href="#Extended reports shared across echos">Extended reports shared across echos</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="acquisition-mb8_datatype-figures_desc-stdev_run-01_session-02_subject-0029_suffix-bold_task-narratives" class="ps-4 pe-4 mb-2">
<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-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-stdev_bold.svg" style="width: 100%" />
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<small>Get figure file: <a href="./sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-stdev_bold.svg" target="_blank">sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-stdev_bold.svg</a></small>
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<div id="acquisition-mb8_datatype-figures_desc-background_run-01_session-02_subject-0029_suffix-bold_task-narratives" 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-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-background_bold.svg" style="width: 100%" />
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<small>Get figure file: <a href="./sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-background_bold.svg" target="_blank">sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-background_bold.svg</a></small>
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<div id="acquisition-mb8_datatype-figures_desc-zoomed_run-01_session-02_subject-0029_suffix-bold_task-narratives" 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-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-zoomed_bold.svg" style="width: 100%" />
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<small>Get figure file: <a href="./sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-zoomed_bold.svg" target="_blank">sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-zoomed_bold.svg</a></small>
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<h3 class="run-title mt-3">Carpetplot and nuisance signals</h3><p class="elem-caption">The so-called &laquo;carpetplot&raquo; may assist in assessing head-motion derived artifacts and respiation effects.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-carpet_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-carpet_bold.svg" target="_blank">sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_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="acquisition-mb8_datatype-figures_desc-mean_run-01_session-02_subject-0029_suffix-bold_task-narratives" class="ps-4 pe-4 mb-2">
<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-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-mean_bold.svg" style="width: 100%" />
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<small>Get figure file: <a href="./sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-mean_bold.svg" target="_blank">sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-mean_bold.svg</a></small>
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<div id="Extended reports shared across echos" class="mt-5">
<h1 class="sub-report-title pt-5 ps-4">Extended reports shared across echos</h1>
<div id="acquisition-mb8_datatype-figures_desc-brainmask_run-01_session-02_subject-0029_suffix-bold_task-narratives" class="ps-4 pe-4 mb-2">
<h3 class="run-title mt-3">Brain extraction performance</h3><p class="elem-caption">Brain mask as internally extracted by MRIQC. Defects on the brainmask could indicate problematic aspects of the image quality-wise.</p> <div class="reportlet">
<img class="svg-reportlet" src="./sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-brainmask_bold.svg" style="width: 100%" />
</div>
<small>Get figure file: <a href="./sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-brainmask_bold.svg" target="_blank">sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-brainmask_bold.svg</a></small>
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<h3 class="run-title mt-3">Spatial normalization of the anatomical image</h3><p class="elem-caption">This panel shows a <em>quick-and-dirty</em> nonlinear registration into the <code>MNI152NLin2009cAsym</code> template accessed with <a href="https://templateflow.org/browse" target="_blank"><em>TemplateFlow</em></a>.</p> <div class="reportlet">
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<small>Get figure file: <a href="./sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-norm_bold.svg" target="_blank">sub-0029/figures/sub-0029_ses-02_task-narratives_acq-mb8_run-01_desc-norm_bold.svg</a></small>
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<div id="About" class="mt-5">
<h1 class="sub-report-title pt-5 ps-4">About</h1>
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<h2 class="sub-report-group mt-4">Errors</h2> <p class="alert alert-success" role="alert">No errors to report!</p>
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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
reconstructing the provenance of the corresponding derivatives.
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<div class="accordion-body metadata-table">
<table id="about-metadata-table-0" class="table table-sm table-striped">
<tr><td colspan=2>Execution environment</td><td>singularity</td></tr>
<tr><td colspan=2>Input filename</td><td><BIDS root>/sub-0029/ses-02/func/sub-0029_ses-02_task-narratives_acq-mb8_run-01_bold.nii.gz</td></tr>
<tr><td>Versions</td><td>MRIQC</td><td>24.1.0.dev0+gd5b13cb5.d20240826</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>5fe137984eb087c8af36ef02cd2d2536</td></tr>
</table>
</div>
</div>
</div>
<div class="accordion-item">
<h2 class="accordion-header" id="about-metadata-1">
<button class="accordion-button collapsed" type="button" data-bs-toggle="collapse" data-bs-target="#about-metadata-1-collapse" aria-controls="about-metadata-1-collapse">
Dataset Information
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</h2>
<div id="about-metadata-1-collapse" class="accordion-collapse collapse" aria-labelledby="about-metadata-1-heading" data-bs-parent="#about-metadata-1">
<div class="accordion-body metadata-table">
<table id="about-metadata-table-1" class="table table-sm table-striped">
<tr><td colspan=2>AcquisitionMatrixPE</td><td>82</td></tr>
<tr><td colspan=2>AcquisitionNumber</td><td>1</td></tr>
<tr><td colspan=2>AcquisitionTime</td><td>11:38:1.800000</td></tr>
<tr><td colspan=2>BandwidthPerPixelPhaseEncode</td><td>24.888</td></tr>
<tr><td colspan=2>BaseResolution</td><td>82</td></tr>
<tr><td colspan=2>BodyPartExamined</td><td>BRAIN</td></tr>
<tr><td colspan=2>ConsistencyInfo</td><td>N4_VE11C_LATEST_20160120</td></tr>
<tr><td colspan=2>ConversionSoftware</td><td>dcm2niix</td></tr>
<tr><td colspan=2>ConversionSoftwareVersion</td><td>v1.0.20201102</td></tr>
<tr><td colspan=2>DerivedVendorReportedEchoSpacing</td><td>0.00049</td></tr>
<tr><td colspan=2>DeviceSerialNumber</td><td>66112</td></tr>
<tr><td colspan=2>DwellTime</td><td>2e-06</td></tr>
<tr><td colspan=2>EchoTime</td><td>0.0272</td></tr>
<tr><td colspan=2>EchoTrainLength</td><td>82</td></tr>
<tr><td colspan=2>EffectiveEchoSpacing</td><td>0.00049</td></tr>
<tr><td colspan=2>FlipAngle</td><td>44</td></tr>
<tr><td colspan=2>ImageComments</td><td>Unaliased MB8/PE3</td></tr>
<tr><td colspan=2>ImageOrientationPatientDICOM</td><td>[0.999199, -0.0339544, -0.0211742, 0.0357659, 0.995113, 0.0920324]</td></tr>
<tr><td colspan=2>ImageType</td><td>['ORIGINAL', 'PRIMARY', 'M', 'MB', 'ND', 'NORM', 'MOSAIC']</td></tr>
<tr><td colspan=2>ImagingFrequency</td><td>123.252</td></tr>
<tr><td colspan=2>InPlanePhaseEncodingDirectionDICOM</td><td>COL</td></tr>
<tr><td colspan=2>InstitutionAddress</td><td>Maynard 3,Hanover,NH,US,03755</td></tr>
<tr><td colspan=2>InstitutionName</td><td>Dartmouth College - PBS</td></tr>
<tr><td colspan=2>InstitutionalDepartmentName</td><td>Department</td></tr>
<tr><td colspan=2>MRAcquisitionType</td><td>2D</td></tr>
<tr><td colspan=2>MagneticFieldStrength</td><td>3</td></tr>
<tr><td colspan=2>Manufacturer</td><td>Siemens</td></tr>
<tr><td colspan=2>ManufacturersModelName</td><td>Prisma</td></tr>
<tr><td colspan=2>Modality</td><td>MR</td></tr>
<tr><td colspan=2>MultibandAccelerationFactor</td><td>8</td></tr>
<tr><td colspan=2>PartialFourier</td><td>1</td></tr>
<tr><td colspan=2>PatientPosition</td><td>HFS</td></tr>
<tr><td colspan=2>PercentPhaseFOV</td><td>100</td></tr>
<tr><td colspan=2>PercentSampling</td><td>100</td></tr>
<tr><td colspan=2>PhaseEncodingDirection</td><td>j-</td></tr>
<tr><td colspan=2>PhaseEncodingSteps</td><td>82</td></tr>
<tr><td colspan=2>PhaseResolution</td><td>1</td></tr>
<tr><td colspan=2>PixelBandwidth</td><td>3050</td></tr>
<tr><td colspan=2>ProcedureStepDescription</td><td>Wager_Wager^1076_spacetop</td></tr>
<tr><td colspan=2>ProtocolName</td><td>func_run-01_task-narratives_acq-ap-mb8</td></tr>
<tr><td colspan=2>PulseSequenceDetails</td><td>%CustomerSeq%\cmrr_mbep2d_bold</td></tr>
<tr><td colspan=2>ReceiveCoilActiveElements</td><td>HEA;HEP</td></tr>
<tr><td colspan=2>ReceiveCoilName</td><td>Head_32</td></tr>
<tr><td colspan=2>ReconMatrixPE</td><td>82</td></tr>
<tr><td colspan=2>RepetitionTime</td><td>0.46</td></tr>
<tr><td colspan=2>SAR</td><td>0.122022</td></tr>
<tr><td colspan=2>ScanOptions</td><td>FS</td></tr>
<tr><td colspan=2>ScanningSequence</td><td>EP</td></tr>
<tr><td colspan=2>SequenceName</td><td>epfid2d1_82</td></tr>
<tr><td colspan=2>SequenceVariant</td><td>SK\SS</td></tr>
<tr><td colspan=2>SeriesDescription</td><td>func_run-01_task-narratives_acq-ap-mb8</td></tr>
<tr><td colspan=2>SeriesNumber</td><td>8</td></tr>
<tr><td colspan=2>ShimSetting</td><td>[4134, -7795, -7204, 570, -35, -220, -27, 52]</td></tr>
<tr><td colspan=2>SliceThickness</td><td>2.7</td></tr>
<tr><td colspan=2>SliceTiming</td><td>[0, 0.25, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.315, 0.125, 0.3775, 0.1875, 0, 0.25, 0.0625, 0.315, 0.125, 0.3775, 0.1875]</td></tr>
<tr><td colspan=2>SoftwareVersions</td><td>syngo MR E11</td></tr>
<tr><td colspan=2>SpacingBetweenSlices</td><td>2.7</td></tr>
<tr><td colspan=2>StationName</td><td>AWP66112</td></tr>
<tr><td colspan=2>TaskName</td><td>narratives</td></tr>
<tr><td colspan=2>TotalReadoutTime</td><td>0.03969</td></tr>
<tr><td colspan=2>TxRefAmp</td><td>256.998</td></tr>
<tr><td colspan=2>WipMemBlock</td><td>32522fe0-a9cd-452b-875c-b7c82a51ba72||Sequence: R016 ve11c/master r/e634e98; Dec 19 2017 11:00:25 by eja</td></tr>
<tr><td>dcmmeta</td><td>affine</td><td>[[-2.6807780265808105, 0.09595724940299988, -0.04845375195145607, 112.40705871582031], [0.09109728038311005, 2.669816732406616, 0.250333309173584, -93.83434295654297], [-0.05680886283516884, -0.24691632390022278, 2.6879332065582275, -24.729276657104492], [0.0, 0.0, 0.0, 1.0]]</td></tr>
<tr><td>dcmmeta</td><td>reorient_transform</td><td>[[0.0, -1.0, 0.0, 81.0], [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, 1.0, 0.0], [0.0, 0.0, 0.0, 1.0]]</td></tr>
<tr><td>dcmmeta</td><td>shape</td><td>[82, 82, 56, 967]</td></tr>
<tr><td>dcmmeta</td><td>slice_dim</td><td>2</td></tr>
<tr><td>dcmmeta</td><td>version</td><td>0.6</td></tr>
<tr><td colspan=2>time</td><td>{'samples': {'AcquisitionNumber': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 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</table>
</div>
</div>
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<h2 class="accordion-header" id="about-metadata-2">
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Extracted Image quality metrics (IQMs)
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<div class="accordion-body metadata-table">
<table id="about-metadata-table-2" class="table table-sm table-striped">
<tr><td colspan=3>aor</td><td>0.0003387966804979253</td></tr>
<tr><td colspan=3>aqi</td><td>0.02612688858921162</td></tr>
<tr><td colspan=3>dummy_trs</td><td>3</td></tr>
<tr><td>dvars</td><td colspan=2>nstd</td><td>41.0385705029284</td></tr>
<tr><td>dvars</td><td colspan=2>std</td><td>1.2028177329906555</td></tr>
<tr><td>dvars</td><td colspan=2>vstd</td><td>0.9727638867808918</td></tr>
<tr><td colspan=3>efc</td><td>0.4655</td></tr>
<tr><td colspan=3>fber</td><td>5377.5952</td></tr>
<tr><td>fd</td><td colspan=2>mean</td><td>0.0788585608145546</td></tr>
<tr><td>fd</td><td colspan=2>num</td><td>2</td></tr>
<tr><td>fd</td><td colspan=2>perc</td><td>0.2074688796680498</td></tr>
<tr><td>fwhm</td><td colspan=2>avg</td><td>2.4851948579407686</td></tr>
<tr><td>fwhm</td><td colspan=2>x</td><td>2.3987571246273554</td></tr>
<tr><td>fwhm</td><td colspan=2>y</td><td>2.758971934220983</td></tr>
<tr><td>fwhm</td><td colspan=2>z</td><td>2.297855514973967</td></tr>
<tr><td colspan=3>gcor</td><td>0.00398522</td></tr>
<tr><td>gsr</td><td colspan=2>x</td><td>-0.018371963873505592</td></tr>
<tr><td>gsr</td><td colspan=2>y</td><td>0.019136589020490646</td></tr>
<tr><td>size</td><td colspan=2>t</td><td>964</td></tr>
<tr><td>size</td><td colspan=2>x</td><td>82</td></tr>
<tr><td>size</td><td colspan=2>y</td><td>82</td></tr>
<tr><td>size</td><td colspan=2>z</td><td>56</td></tr>
<tr><td colspan=3>snr</td><td>3.9053792030694647</td></tr>
<tr><td>spacing</td><td colspan=2>tr</td><td>0.46000000834465027</td></tr>
<tr><td>spacing</td><td colspan=2>x</td><td>2.682926893234253</td></tr>
<tr><td>spacing</td><td colspan=2>y</td><td>2.682926893234253</td></tr>
<tr><td>spacing</td><td colspan=2>z</td><td>2.700000047683716</td></tr>
<tr><td>summary</td><td>bg</td><td>k</td><td>34.1938</td></tr>
<tr><td>summary</td><td>bg</td><td>mad</td><td>43.2154</td></tr>
<tr><td>summary</td><td>bg</td><td>mean</td><td>175.0127</td></tr>
<tr><td>summary</td><td>bg</td><td>median</td><td>50.0</td></tr>
<tr><td>summary</td><td>bg</td><td>n</td><td>304437.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p05</td><td>17.0</td></tr>
<tr><td>summary</td><td>bg</td><td>p95</td><td>832.0</td></tr>
<tr><td>summary</td><td>bg</td><td>stdv</td><td>346.3147</td></tr>
<tr><td>summary</td><td>fg</td><td>k</td><td>2.2196</td></tr>
<tr><td>summary</td><td>fg</td><td>mad</td><td>547.4541</td></tr>
<tr><td>summary</td><td>fg</td><td>mean</td><td>3444.3197</td></tr>
<tr><td>summary</td><td>fg</td><td>median</td><td>3647.0</td></tr>
<tr><td>summary</td><td>fg</td><td>n</td><td>72107.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p05</td><td>1174.0</td></tr>
<tr><td>summary</td><td>fg</td><td>p95</td><td>4531.0</td></tr>
<tr><td>summary</td><td>fg</td><td>stdv</td><td>933.8337</td></tr>
<tr><td colspan=3>tsnr</td><td>37.916085231117904</td></tr>
</table>
</div>
</div>
</div>
</div>
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<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>
<button class="btn btn-primary" id="btn-post" value="8sSYVI0XjFqacEMZ8wF4" disabled>Share publicly</button>
</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>