Summary

Shell-wise joint distribution of SNR vs. FA in every voxel

This visualization divides the data by shells, and shows the joint distribution of SNR vs. FA. At the bottom, the distributions are marginalized for SNR. Please note that the figures of SNR provided are calculated with a coarse estimation of the signal variability, and therefore should be interpreted with care.

Get figure file: sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-heatmap_dwi.svg

Fractional anisotropy (FA) map

Reconstructed FA map.

Get figure file: sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-fa_dwi.svg

Mean diffusivity (MD) map

Reconstructed MD map.

Get figure file: sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-md_dwi.svg

DWI shells

Reports for: bval 0.

Voxel-wise average and standard deviation across volumes in this DWI shell.

This panel shows mosaics flickering between the voxel-wise average and standard deviation for each shell.

Problem loading figure sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-avgstd_bval-00000_dwi.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-avgstd_bval-00000_dwi.svg

View of the background of the voxel-wise average of this DWI shell

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-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-background_bval-00000_dwi.svg

Reports for: bval 1000.

Voxel-wise average and standard deviation across volumes in this DWI shell.

This panel shows mosaics flickering between the voxel-wise average and standard deviation for each shell.

Problem loading figure sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-avgstd_bval-01000_dwi.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-avgstd_bval-01000_dwi.svg

View of the background of the voxel-wise average of this DWI shell

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-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-background_bval-01000_dwi.svg

Reports for: bval 2000.

Voxel-wise average and standard deviation across volumes in this DWI shell.

This panel shows mosaics flickering between the voxel-wise average and standard deviation for each shell.

Problem loading figure sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-avgstd_bval-02000_dwi.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-avgstd_bval-02000_dwi.svg

View of the background of the voxel-wise average of this DWI shell

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-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-background_bval-02000_dwi.svg

Reports for: bval 3000.

Voxel-wise average and standard deviation across volumes in this DWI shell.

This panel shows mosaics flickering between the voxel-wise average and standard deviation for each shell.

Problem loading figure sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-avgstd_bval-03000_dwi.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-avgstd_bval-03000_dwi.svg

View of the background of the voxel-wise average of this DWI shell

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-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-background_bval-03000_dwi.svg

Reports for: bval 700.

Voxel-wise average and standard deviation across volumes in this DWI shell.

This panel shows mosaics flickering between the voxel-wise average and standard deviation for each shell.

Problem loading figure sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-avgstd_bval-00700_dwi.svg. If the link below works, please try reloading the report in your browser.
Get figure file: sub-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-avgstd_bval-00700_dwi.svg

View of the background of the voxel-wise average of this DWI shell

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-001/figures/sub-001_ses-007_acq-highres_dir-LR_desc-background_bval-00700_dwi.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 environmentposix
Input filename/sub-001/ses-007/dwi/sub-001_ses-007_acq-highres_dir-LR_dwi.nii.gz
VersionsMRIQC24.0.0
VersionsNiPype1.8.7.dev0
VersionsTemplateFlow24.2.0.dev49+gb1f2eb2a.d20240413
md5sum23baeb3e9da92dee33820581a10715cb

AcquisitionMatrixPE104
AcquisitionNumber1
AcquisitionTime19:49:32.890000
B0FieldSource['007pepolarb0', '007phasediff']
BandwidthPerPixelPhaseEncode24.42
BaseResolution146
BodyPartExaminedBRAIN
CoilCombinationMethodAdaptive Combine
CoilStringHeadNeck_64
ConversionSoftwaredcm2niix
ConversionSoftwareVersionv1.0.20220720
Deltas[0.0272, 0.0469]
DerivedVendorReportedEchoSpacing0.000787501
DeviceSerialNumber67014
DiffusionSchemeMonopolar
DwellTime2.1e-06
EchoTime0.098
EchoTrainLength46
EffectiveEchoSpacing0.00039375
FlipAngle90
HeudiconvVersion1.0.0
ImageOrientationPatientDICOM[0.999128, 0.0132795, 0.0395759, -0.011684, 0.99912, -0.0402765]
ImageType['ORIGINAL', 'PRIMARY', 'DIFFUSION', 'NONE', 'ND', 'MFSPLIT']
ImageTypeText['ORIGINAL', 'PRIMARY', 'DIFFUSION', 'NONE']
ImagingFrequency123.248
InPlanePhaseEncodingDirectionDICOMROW
InstitutionAddressRue du Bugnon 21,Lausanne,District,CH,1011
InstitutionNameCHUV
MRAcquisitionType2D
MagneticFieldStrength3
ManufacturerSiemens
ManufacturersModelNameMAGNETOM Prisma Fit
ModalityMR
MultibandAccelerationFactor3
NonlinearGradientCorrectionFalse
ParallelReductionFactorInPlane2
PartialFourier0.875
PatientPositionHFS
PercentPhaseFOV71.2329
PercentSampling100
PhaseEncodingDirectioni-
PhaseEncodingSteps104
PhaseResolution1
PixelBandwidth1631
ProcedureStepDescriptionRESEARCH Oscar
ProtocolNamedwi-dwi_acq-highres_dir-LR__trigger_monopolar_71fovphase
PulseSequenceDetails%CustomerSeq%\ep2d_diff_trigg
ReceiveCoilActiveElementsHC1-6
ReceiveCoilNameHeadNeck_64
ReconMatrixPE104
RefLinesPE38
RepetitionTime7
SAR0.168936
ScanOptionsPFP\FS\PER
ScanningSequenceGR\EP
SequenceNameep_b0
SequenceVariantSK
SeriesDescriptiondwi-dwi_acq-highres_dir-LR__trigger_monopolar_71fovphase
SeriesNumber10
ShimSetting[8223, -5639, -6045, 564, -64, -299, 57, 51]
SliceThickness1.6
SliceTiming[0, 5.94, 0.135, 6.075, 0.27, 6.21, 0.405, 6.345, 0.54, 6.48, 0.675, 6.615, 0.81, 6.75, 0.945, 6.885, 1.08, 7.02, 1.215, 7.155, 1.35, 7.29, 1.485, 7.425, 1.62, 7.56, 1.755, 7.695, 1.89, 7.83, 2.025, 7.965, 2.16, 8.1, 2.295, 8.235, 2.43, 8.37, 2.565, 8.505, 2.7, 8.64, 2.835, 8.775, 2.97, 8.91, 3.105, 9.045, 3.24, 9.18, 3.375, 9.315, 3.51, 9.45, 3.645, 9.585, 3.78, 9.72, 3.915, 9.855, 4.05, 9.99, 4.185, 10.125, 4.32, 10.26, 4.455, 10.395, 4.59, 10.53, 4.725, 10.665, 4.86, 10.8, 4.995, 10.935, 5.13, 11.07, 5.265, 11.205, 5.4, 11.34, 5.535, 11.475, 5.67, 11.61, 5.805]
SoftwareVersionssyngo MR XA30
SpacingBetweenSlices1.6
StationNameLRG10884
TotalReadoutTime0.0405563
TxRefAmp247.09
dcmmetaaffine[[-1.6013424396514893, -0.018726414069533348, 0.06419999897480011, 81.61512756347656], [-0.0212835855782032, 1.6013295650482178, -0.06400000303983688, -94.99979400634766], [0.06342987716197968, 0.06455275416374207, 1.597499966621399, -65.49214935302734], [0.0, 0.0, 0.0, 1.0]]
dcmmetareorient_transform[[0.0, -1.0, 0.0, 145.0], [1.0, 0.0, 0.0, 0.0], [0.0, 0.0, -1.0, 86.0], [0.0, 0.0, 0.0, 1.0]]
dcmmetashape[104, 146, 87, 280]
dcmmetaslice_dim2
dcmmetaversion0.6
time{'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, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280], 'ContentTime': ['194940', '194947', '194954', '195001', '195008', '195015', '195022', '195029', '195036', '195043', '195050', '195057', '195104', '195111', '195118', '195125', '195132', '195139', '195146', '195153', '195200', '195207', '195214', '195221', '195228', '195235', '195242', '195249', '195256', '195303', '195310', '195317', '195324', '195331', '195338', '195345', '195352', '195359', '195406', '195413', '195420', '195427', '195434', '195441', '195448', '195455', '195502', '195509', '195516', '195523', '195530', '195537', '195544', '195551', '195558', '195605', '195612', '195619', '195626', '195633', '195640', '195647', '195654', '195701', '195708', '195715', '195722', '195729', '195736', '195743', '195750', '195757', '195804', '195811', '195818', '195825', '195832', '195839', '195846', '195853', '195900', '195907', '195914', '195921', '195928', '195935', '195942', '195949', '195956', '200003', '200010', '200017', '200024', '200031', '200038', '200045', '200052', '200059', '200106', '200113', '200120', '200127', '200134', '200141', '200148', '200155', '200202', '200209', '200216', '200223', '200230', '200237', '200244', '200251', '200258', '200305', '200312', '200319', '200326', '200333', '200340', '200347', '200354', '200401', '200408', '200415', '200422', '200429', '200436', '200443', '200450', '200457', '200504', '200511', '200518', '200525', '200532', '200539', '200546', '200553', '200600', '200607', '200614', '200621', '200628', '200635', '200642', '200649', '200656', '200703', '200710', '200717', '200724', '200731', '200738', '200745', '200752', '200759', '200806', '200813', '200820', '200827', '200834', '200841', '200848', '200855', '200902', '200909', '200916', '200923', '200930', '200937', '200944', '200951', '200958', '201005', '201012', '201019', '201026', '201033', '201040', '201047', '201054', '201101', '201108', '201115', '201122', '201129', '201136', '201143', '201150', '201157', '201204', '201211', '201218', '201225', '201232', '201239', '201246', '201253', '201300', '201307', '201314', '201321', '201328', '201335', '201342', '201349', '201356', '201403', '201410', '201417', '201424', '201431', '201438', '201445', '201452', '201459', '201506', '201513', '201520', '201527', '201534', '201541', '201548', '201555', '201602', '201609', '201616', '201623', '201630', '201637', '201644', '201651', '201658', '201705', '201712', '201719', '201726', '201733', '201740', '201747', '201754', '201801', '201808', '201815', '201822', '201829', '201836', '201843', '201850', '201857', '201904', '201911', '201918', '201925', '201932', '201939', '201946', '201953', '202000', '202007', '202014', '202021', '202028', '202035', '202042', '202049', '202056', '202103', '202110', '202117', '202124', '202131', '202138', '202145', '202152', '202159', '202206', '202213'], 'InstanceCreationTime': ['194932.890000', '194939.890000', '194946.890000', '194953.890000', '195000.890000', '195007.890000', '195014.890000', '195021.890000', '195028.890000', '195035.890000', '195042.890000', '195049.890000', '195056.890000', '195103.890000', '195110.890000', '195117.890000', '195124.890000', '195131.890000', '195138.890000', '195145.890000', '195152.890000', '195159.890000', '195206.890000', '195213.890000', '195220.890000', '195227.890000', '195234.890000', '195241.890000', '195248.890000', '195255.890000', '195302.890000', '195309.890000', '195316.890000', '195323.890000', '195330.890000', '195337.890000', '195344.890000', '195351.890000', '195358.890000', '195405.890000', '195412.890000', '195419.890000', '195426.890000', '195433.890000', '195440.890000', '195447.890000', '195454.890000', '195501.890000', '195508.890000', '195515.890000', '195522.890000', '195529.890000', '195536.890000', '195543.890000', '195550.890000', '195557.890000', '195604.890000', '195611.890000', '195618.890000', '195625.890000', '195632.890000', '195639.890000', '195646.890000', '195653.890000', '195700.890000', '195707.890000', '195714.890000', '195721.890000', '195728.890000', '195735.890000', '195742.890000', '195749.890000', '195756.890000', '195803.890000', '195810.890000', '195817.890000', '195824.890000', '195831.890000', '195838.890000', '195845.890000', '195852.890000', '195859.890000', '195906.890000', '195913.890000', '195920.890000', '195927.890000', '195934.890000', '195941.890000', '195948.890000', '195955.890000', '200002.890000', '200009.890000', '200016.890000', '200023.890000', '200030.890000', '200037.890000', '200044.890000', '200051.890000', '200058.890000', '200105.890000', '200112.890000', '200119.890000', '200126.890000', '200133.890000', '200140.890000', '200147.890000', '200154.890000', '200201.890000', '200208.890000', '200215.890000', '200222.890000', '200229.890000', '200236.890000', '200243.890000', '200250.890000', '200257.890000', '200304.890000', '200311.890000', '200318.890000', '200325.890000', '200332.890000', '200339.890000', '200346.890000', '200353.890000', '200400.890000', '200407.890000', '200414.890000', '200421.890000', '200428.890000', '200435.890000', '200442.890000', '200449.890000', '200456.890000', '200503.890000', '200510.890000', '200517.890000', '200524.890000', '200531.890000', '200538.890000', '200545.890000', '200552.890000', '200559.890000', '200606.890000', '200613.890000', '200620.890000', '200627.890000', '200634.890000', '200641.890000', '200648.890000', '200655.890000', '200702.890000', '200709.890000', '200716.890000', '200723.890000', '200730.890000', '200737.890000', '200744.890000', '200751.890000', '200758.890000', '200805.890000', '200812.890000', '200819.890000', '200826.890000', '200833.890000', '200840.890000', '200847.890000', '200854.890000', '200901.890000', '200908.890000', '200915.890000', '200922.890000', '200929.890000', '200936.890000', '200943.890000', '200950.890000', '200957.890000', '201004.890000', '201011.890000', '201018.890000', '201025.890000', '201032.890000', '201039.890000', '201046.890000', '201053.890000', '201100.890000', '201107.890000', '201114.890000', '201121.890000', '201128.890000', '201135.890000', '201142.890000', '201149.890000', '201156.890000', '201203.890000', '201210.890000', '201217.890000', '201224.890000', '201231.890000', '201238.890000', '201245.890000', '201252.890000', '201259.890000', '201306.890000', '201313.890000', '201320.890000', '201327.890000', '201334.890000', '201341.890000', '201348.890000', '201355.890000', '201402.890000', '201409.890000', '201416.890000', '201423.890000', '201430.890000', '201437.890000', '201444.890000', '201451.890000', '201458.890000', '201505.890000', '201512.890000', '201519.890000', '201526.890000', '201533.890000', '201540.890000', '201547.890000', '201554.890000', '201601.890000', '201608.890000', '201615.890000', '201622.890000', '201629.890000', '201636.890000', '201643.890000', '201650.890000', '201657.890000', '201704.890000', '201711.890000', '201718.890000', '201725.890000', '201732.890000', '201739.890000', '201746.890000', '201753.890000', '201800.890000', '201807.890000', '201814.890000', '201821.890000', '201828.890000', '201835.890000', '201842.890000', '201849.890000', '201856.890000', '201903.890000', '201910.890000', '201917.890000', '201924.890000', '201931.890000', '201938.890000', '201945.890000', '201952.890000', '201959.890000', '202006.890000', '202013.890000', '202020.890000', '202027.890000', '202034.890000', '202041.890000', '202048.890000', '202055.890000', '202102.890000', '202109.890000', '202116.890000', '202123.890000', '202130.890000', '202137.890000', '202144.890000', '202151.890000', '202158.890000', '202205.890000'], 'LargestImagePixelValue': [4095, 298, 303, 260, 485, 480, 1123, 325, 434, 801, 803, 482, 285, 329, 856, 877, 305, 311, 380, 284, 532, 279, 471, 523, 314, 483, 540, 473, 859, 299, 344, 348, 296, 305, 314, 441, 315, 498, 509, 443, 283, 433, 288, 490, 863, 294, 509, 4095, 289, 921, 296, 289, 447, 449, 1120, 311, 316, 521, 278, 1115, 274, 480, 458, 295, 432, 495, 332, 479, 276, 291, 480, 305, 470, 282, 879, 907, 334, 878, 498, 1035, 521, 927, 475, 309, 357, 1116, 354, 499, 284, 832, 293, 490, 856, 499, 4095, 344, 839, 913, 316, 303, 288, 828, 338, 481, 430, 436, 280, 308, 441, 468, 287, 1127, 290, 292, 448, 858, 457, 294, 323, 283, 480, 305, 311, 280, 864, 344, 503, 858, 479, 446, 522, 316, 353, 263, 845, 285, 306, 305, 272, 353, 4095, 277, 297, 270, 457, 443, 1161, 319, 496, 871, 888, 420, 277, 329, 897, 818, 298, 293, 364, 258, 454, 300, 497, 496, 310, 480, 517, 440, 877, 280, 350, 336, 299, 267, 293, 446, 324, 532, 492, 475, 290, 464, 287, 410, 789, 277, 491, 4095, 333, 890, 279, 268, 512, 492, 1047, 277, 324, 538, 293, 1115, 291, 403, 457, 280, 460, 499, 290, 426, 294, 274, 500, 310, 458, 289, 838, 955, 353, 800, 490, 1096, 464, 909, 456, 323, 378, 1058, 338, 515, 284, 865, 263, 442, 890, 468, 4095, 327, 903, 913, 309, 292, 333, 853, 373, 485, 520, 459, 308, 279, 468, 509, 270, 1071, 280, 288, 474, 864, 443, 291, 288, 291, 447, 300, 268, 292, 818, 332, 515, 786, 494, 507, 507, 326, 356, 284, 871, 292, 332, 271, 331, 324], 'SequenceName': ['ep_b0', 'ep_b3000#1', 'ep_b3000#2', 'ep_b3000#3', 'ep_b2000#4', 'ep_b2000#5', 'ep_b700#6', 'ep_b3000#7', 'ep_b2000#8', 'ep_b1000#9', 'ep_b1000#10', 'ep_b2000#11', 'ep_b3000#12', 'ep_b3000#13', 'ep_b1000#14', 'ep_b1000#15', 'ep_b3000#16', 'ep_b3000#17', 'ep_b3000#18', 'ep_b3000#19', 'ep_b2000#20', 'ep_b3000#21', 'ep_b2000#22', 'ep_b2000#23', 'ep_b3000#24', 'ep_b2000#25', 'ep_b2000#26', 'ep_b2000#27', 'ep_b1000#28', 'ep_b3000#29', 'ep_b3000#30', 'ep_b3000#31', 'ep_b3000#32', 'ep_b3000#33', 'ep_b3000#34', 'ep_b2000#35', 'ep_b3000#36', 'ep_b2000#37', 'ep_b2000#38', 'ep_b2000#39', 'ep_b3000#40', 'ep_b2000#41', 'ep_b3000#42', 'ep_b2000#43', 'ep_b1000#44', 'ep_b3000#45', 'ep_b2000#46', 'ep_b0', 'ep_b3000#48', 'ep_b1000#49', 'ep_b3000#50', 'ep_b3000#51', 'ep_b2000#52', 'ep_b2000#53', 'ep_b700#54', 'ep_b3000#55', 'ep_b3000#56', 'ep_b2000#57', 'ep_b3000#58', 'ep_b700#59', 'ep_b3000#60', 'ep_b2000#61', 'ep_b2000#62', 'ep_b3000#63', 'ep_b2000#64', 'ep_b2000#65', 'ep_b3000#66', 'ep_b2000#67', 'ep_b3000#68', 'ep_b3000#69', 'ep_b2000#70', 'ep_b3000#71', 'ep_b2000#72', 'ep_b3000#73', 'ep_b1000#74', 'ep_b1000#75', 'ep_b3000#76', 'ep_b1000#77', 'ep_b2000#78', 'ep_b700#79', 'ep_b2000#80', 'ep_b1000#81', 'ep_b2000#82', 'ep_b3000#83', 'ep_b3000#84', 'ep_b700#85', 'ep_b3000#86', 'ep_b2000#87', 'ep_b3000#88', 'ep_b1000#89', 'ep_b3000#90', 'ep_b2000#91', 'ep_b1000#92', 'ep_b2000#93', 'ep_b0', 'ep_b3000#95', 'ep_b1000#96', 'ep_b1000#97', 'ep_b3000#98', 'ep_b3000#99', 'ep_b3000#100', 'ep_b1000#101', 'ep_b3000#102', 'ep_b2000#103', 'ep_b2000#104', 'ep_b2000#105', 'ep_b3000#106', 'ep_b3000#107', 'ep_b2000#108', 'ep_b2000#109', 'ep_b3000#110', 'ep_b700#111', 'ep_b3000#112', 'ep_b3000#113', 'ep_b2000#114', 'ep_b1000#115', 'ep_b2000#116', 'ep_b3000#117', 'ep_b3000#118', 'ep_b3000#119', 'ep_b2000#120', 'ep_b3000#121', 'ep_b3000#122', 'ep_b3000#123', 'ep_b1000#124', 'ep_b3000#125', 'ep_b2000#126', 'ep_b1000#127', 'ep_b2000#128', 'ep_b2000#129', 'ep_b2000#130', 'ep_b3000#131', 'ep_b3000#132', 'ep_b3000#133', 'ep_b1000#134', 'ep_b3000#135', 'ep_b3000#136', 'ep_b3000#137', 'ep_b3000#138', 'ep_b3000#139', 'ep_b0', 'ep_b3000#141', 'ep_b3000#142', 'ep_b3000#143', 'ep_b2000#144', 'ep_b2000#145', 'ep_b700#146', 'ep_b3000#147', 'ep_b2000#148', 'ep_b1000#149', 'ep_b1000#150', 'ep_b2000#151', 'ep_b3000#152', 'ep_b3000#153', 'ep_b1000#154', 'ep_b1000#155', 'ep_b3000#156', 'ep_b3000#157', 'ep_b3000#158', 'ep_b3000#159', 'ep_b2000#160', 'ep_b3000#161', 'ep_b2000#162', 'ep_b2000#163', 'ep_b3000#164', 'ep_b2000#165', 'ep_b2000#166', 'ep_b2000#167', 'ep_b1000#168', 'ep_b3000#169', 'ep_b3000#170', 'ep_b3000#171', 'ep_b3000#172', 'ep_b3000#173', 'ep_b3000#174', 'ep_b2000#175', 'ep_b3000#176', 'ep_b2000#177', 'ep_b2000#178', 'ep_b2000#179', 'ep_b3000#180', 'ep_b2000#181', 'ep_b3000#182', 'ep_b2000#183', 'ep_b1000#184', 'ep_b3000#185', 'ep_b2000#186', 'ep_b0', 'ep_b3000#188', 'ep_b1000#189', 'ep_b3000#190', 'ep_b3000#191', 'ep_b2000#192', 'ep_b2000#193', 'ep_b700#194', 'ep_b3000#195', 'ep_b3000#196', 'ep_b2000#197', 'ep_b3000#198', 'ep_b700#199', 'ep_b3000#200', 'ep_b2000#201', 'ep_b2000#202', 'ep_b3000#203', 'ep_b2000#204', 'ep_b2000#205', 'ep_b3000#206', 'ep_b2000#207', 'ep_b3000#208', 'ep_b3000#209', 'ep_b2000#210', 'ep_b3000#211', 'ep_b2000#212', 'ep_b3000#213', 'ep_b1000#214', 'ep_b1000#215', 'ep_b3000#216', 'ep_b1000#217', 'ep_b2000#218', 'ep_b700#219', 'ep_b2000#220', 'ep_b1000#221', 'ep_b2000#222', 'ep_b3000#223', 'ep_b3000#224', 'ep_b700#225', 'ep_b3000#226', 'ep_b2000#227', 'ep_b3000#228', 'ep_b1000#229', 'ep_b3000#230', 'ep_b2000#231', 'ep_b1000#232', 'ep_b2000#233', 'ep_b0', 'ep_b3000#235', 'ep_b1000#236', 'ep_b1000#237', 'ep_b3000#238', 'ep_b3000#239', 'ep_b3000#240', 'ep_b1000#241', 'ep_b3000#242', 'ep_b2000#243', 'ep_b2000#244', 'ep_b2000#245', 'ep_b3000#246', 'ep_b3000#247', 'ep_b2000#248', 'ep_b2000#249', 'ep_b3000#250', 'ep_b700#251', 'ep_b3000#252', 'ep_b3000#253', 'ep_b2000#254', 'ep_b1000#255', 'ep_b2000#256', 'ep_b3000#257', 'ep_b3000#258', 'ep_b3000#259', 'ep_b2000#260', 'ep_b3000#261', 'ep_b3000#262', 'ep_b3000#263', 'ep_b1000#264', 'ep_b3000#265', 'ep_b2000#266', 'ep_b1000#267', 'ep_b2000#268', 'ep_b2000#269', 'ep_b2000#270', 'ep_b3000#271', 'ep_b3000#272', 'ep_b3000#273', 'ep_b1000#274', 'ep_b3000#275', 'ep_b3000#276', 'ep_b3000#277', 'ep_b3000#278', 'ep_b3000#279']}, 'slices': {'ImagePositionPatient': [[-78.9065, -137.163, -56.1275], [-78.9706, -137.099, -54.5301], [-79.0347, -137.035, -52.9326], [-79.0989, -136.972, -51.3352], [-79.163, -136.908, -49.7377], [-79.2271, -136.845, -48.1403], [-79.2912, -136.781, -46.5428], [-79.3553, -136.717, -44.9454], [-79.4195, -136.654, -43.348], [-79.4836, -136.59, -41.7505], [-79.5477, -136.526, -40.1531], [-79.6118, -136.463, -38.5556], [-79.676, -136.399, -36.9582], [-79.7401, -136.335, -35.3607], [-79.8042, -136.272, -33.7633], [-79.8683, -136.208, -32.1658], [-79.9324, -136.144, -30.5684], [-79.9966, -136.081, -28.9709], [-80.0607, -136.017, -27.3735], [-80.1248, -135.954, -25.776], [-80.1889, -135.89, -24.1786], [-80.253, -135.826, -22.5811], [-80.3172, -135.763, -20.9837], [-80.3813, -135.699, -19.3862], [-80.4454, -135.635, -17.7888], [-80.5095, -135.572, -16.1913], [-80.5737, -135.508, -14.5939], [-80.6378, -135.444, -12.9964], [-80.7019, -135.381, -11.399], [-80.766, -135.317, -9.80155], [-80.8301, -135.253, -8.2041], [-80.8943, -135.19, -6.60665], [-80.9584, -135.126, -5.0092], [-81.0225, -135.062, -3.41175], [-81.0866, -134.999, -1.81431], [-81.1507, -134.935, -0.216858], [-81.2149, -134.872, 1.38059], [-81.279, -134.808, 2.97804], [-81.3431, -134.744, 4.57549], [-81.4072, -134.681, 6.17293], [-81.4714, -134.617, 7.77038], [-81.5355, -134.553, 9.36783], [-81.5996, -134.49, 10.9653], [-81.6637, -134.426, 12.5627], [-81.7278, -134.362, 14.1602], [-81.792, -134.299, 15.7576], [-81.8561, -134.235, 17.3551], [-81.9202, -134.171, 18.9525], [-81.9843, -134.108, 20.55], [-82.0485, -134.044, 22.1474], [-82.1126, -133.98, 23.7449], [-82.1767, -133.917, 25.3423], [-82.2408, -133.853, 26.9398], [-82.3049, -133.79, 28.5372], [-82.3691, -133.726, 30.1347], [-82.4332, -133.662, 31.7321], [-82.4973, -133.599, 33.3296], [-82.5614, -133.535, 34.927], [-82.6255, -133.471, 36.5244], [-82.6897, -133.408, 38.1219], [-82.7538, -133.344, 39.7193], [-82.8179, -133.28, 41.3168], [-82.882, -133.217, 42.9142], [-82.9462, -133.153, 44.5117], [-83.0103, -133.089, 46.1091], [-83.0744, -133.026, 47.7066], [-83.1385, -132.962, 49.304], [-83.2026, -132.898, 50.9015], [-83.2668, -132.835, 52.4989], [-83.3309, -132.771, 54.0964], [-83.395, -132.708, 55.6938], [-83.4591, -132.644, 57.2913], [-83.5232, -132.58, 58.8887], [-83.5874, -132.517, 60.4862], [-83.6515, -132.453, 62.0836], [-83.7156, -132.389, 63.6811], [-83.7797, -132.326, 65.2785], [-83.8439, -132.262, 66.876], [-83.908, -132.198, 68.4734], [-83.9721, -132.135, 70.0709], [-84.0362, -132.071, 71.6683], [-84.1003, -132.007, 73.2657], [-84.1645, -131.944, 74.8632], [-84.2286, -131.88, 76.4606], [-84.2927, -131.816, 78.0581], [-84.3568, -131.753, 79.6555], [-84.421, -131.689, 81.253]], 'SliceLocation': [-58.3319, -56.7319, -55.1319, -53.5319, -51.9319, -50.3319, -48.7319, -47.1319, -45.5319, -43.9319, -42.3319, -40.7319, -39.1319, -37.5319, -35.9319, -34.3319, -32.7319, -31.1319, -29.5319, -27.9319, -26.3319, -24.7319, -23.1319, -21.5319, -19.9319, -18.3319, -16.7319, -15.1319, -13.5319, -11.9319, -10.3319, -8.7319, -7.1319, -5.5319, -3.9319, -2.3319, -0.7319, 0.8681, 2.4681, 4.0681, 5.6681, 7.2681, 8.8681, 10.4681, 12.0681, 13.6681, 15.2681, 16.8681, 18.4681, 20.0681, 21.6681, 23.2681, 24.8681, 26.4681, 28.0681, 29.6681, 31.2681, 32.8681, 34.4681, 36.0681, 37.6681, 39.2681, 40.8681, 42.4681, 44.0681, 45.6681, 47.2681, 48.8681, 50.4681, 52.0681, 53.6681, 55.2681, 56.8681, 58.4681, 60.0681, 61.6681, 63.2681, 64.8681, 66.4681, 68.0681, 69.6681, 71.2681, 72.8681, 74.4681, 76.0681, 77.6681, 79.2681]}}

NumberOfShells4
bValues[0.0, 700.0, 1000.0, 2000.0, 3000.0]
bValuesEstimation[700.0, 1000.0, 2000.0, 3000.0]
bdiffsmax0.3404
bdiffsmean0.1667
bdiffsmedian0.1928
bdiffsmin0.0018
efcshell012.5917
efcshell021.1903
efcshell030.9384
efcshell040.6634
efcshell050.6614
fadegenerate0.0
fanans0.0
fbershell019.5689
fbershell0246.6944
fbershell0347.8403
fbershell0437.21
fbershell0521.7778
fdmean19.2977
fdnum279
fdperc99.64285714285714
ndc0.8461
sigmacc48.9259
sigmapca18.7527
sigmapiesno6.9332
snrccshell03.62
snrccshell1best3.65
snrccshell1worst3.65
snrccshell2best2.41
snrccshell2worst1.69
snrccshell3best1.98
snrccshell3worst1.28
snrccshell4best1.21
snrccshell4worst0.87
spikesglobal49.97
spikesslicei329.53
spikesslicej319.33
spikesslicek280.37
summarybgk209.3339
summarybgmad17.7912
summarybgmean40.8837
summarybgmedian17.0
summarybgn959166.0
summarybgp053.0
summarybgp95137.0
summarybgstdv103.7874
summaryfgk9.4026
summaryfgmad171.9819
summaryfgmean395.2352
summaryfgmedian301.0
summaryfgn361842.0
summaryfgp05100.0
summaryfgp951062.0
summaryfgstdv327.906
summarywmk5.4775
summarywmmad84.5083
summarywmmean214.8794
summarywmmedian211.0
summarywmn104126.0
summarywmp0585.0
summarywmp95360.0
summarywmstdv88.6718
Rating widget

  • Exclude
  • Poor
  • Acceptable
  • Excellent

Comments

Rater confidence

  • Doubtful
  • Confident
Download