Generated Narrative: CodeSystem IBSICS This code system https://ibsi.readthedocs.io/en/latest/ defines the following codes: Code Display HCUG Morphological features RNU0 Volume YEKZ Approximate volume C0JK Surface area 2PR5 Surface to volume ratio SKGS Compactness 1 BQWJ Compactness 2 KRCK Spherical disproportion QCFX Sphericity 25C7 Asphericity KLMA Centre of mass shift L0JK Maximum 3D diameter TDIC Major axis length P9VJ Minor axis length 7J51 Least axis length Q3CK Elongation N17B Flatness PBX1 Volume density - axis-aligned bounding box R59B Area density - axis-aligned bounding box ZH1A Volume density - oriented minimum bounding box IQYR Area density - oriented minimum bounding box 6BDE Volume density - approximate enclosing ellipsoid RDD2 Area density - approximate enclosing ellipsoid SWZ1 Volume density - minimum volume enclosing ellipsoid BRI8 Area density - minimum volume enclosing ellipsoid R3ER Volume density - convex hull 7T7F Area density - convex hull 99N0 Integrated intensity N365 Moran's I index NPT7 Geary's C measure 9ST6 Local intensity features VJGA Local intensity peak 0F91 Global intensity peak UHIW Intensity-based statistical features Q4LE Mean ECT3 Variance KE2A Skewness IPH6 Kurtosis Y12H Median 1GSF Minimum grey level QG58 10th percentile 8DWT 90th percentile 84IY Maximum grey level SALO Interquartile range 2OJQ Range 4FUA Mean absolute deviation 1128 Robust mean absolute deviation N72L Median absolute deviation 7TET Coefficient of variation 9S40 Quartile coefficient of dispersion N8CA Energy 5ZWQ Root mean square ZVCW Intensity histogram features X6K6 Intensity histogram mean CH89 Intensity histogram variance 88K1 Intensity histogram skewness C3I7 Intensity histogram kurtosis WIFQ Intensity histogram median 1PR8 Intensity histogram minimum grey level GPMT Intensity histogram 10th percentile OZ0C Intensity histogram 90th percentile 3NCY Intensity histogram maximum grey level AMMC Intensity histogram mode WR0O Intensity histogram interquartile range 5Z3W Intensity histogram range D2ZX Intensity histogram mean absolute deviation WRZB Intensity histogram robust mean absolute deviation 4RNL Intensity histogram median absolute deviation CWYJ Intensity histogram coefficient of variation SLWD Intensity histogram quartile coefficient of dispersion TLU2 Intensity histogram entropy BJ5W Intensity histogram uniformity 12CE Maximum histogram gradient 8E6O Maximum histogram gradient grey level VQB3 Minimum histogram gradient RHQZ Minimum histogram gradient grey level P88C Intensity-volume histogram features BC2M Volume at intensity fraction GBPN Intensity at volume fraction DDTU Volume fraction difference between intensity fractions CNV2 Intensity fraction difference between volume fractions 9CMM Area under IVH curve LFYI Grey level co-occurrence based features GYBY Joint maximum 60VM Joint average UR99 Joint variance TU9B Joint entropy TF7R Difference average D3YU Difference variance NTRS Difference entropy ZGXS Sum average OEEB Sum variance P6QZ Sum entropy 8ZQL Angular second moment ACUI Contrast 8S9J Dissimilarity IB1Z Inverse difference NDRX Normalised inverse difference WF0Z Inverse difference moment 1QCO Normalised inverse difference moment E8JP Inverse variance NI2N Correlation QWB0 Autocorrelation DG8W Cluster tendency 7NFM Cluster shade AE86 Cluster prominence R8DG First measure of information correlation JN9H Second measure of information correlation TP0I Grey level run length based features 22OV Short runs emphasis W4KF Long runs emphasis V3SW Low grey level run emphasis G3QZ High grey level run emphasis HTZT Short run low grey level emphasis GD3A Short run high grey level emphasis IVPO Long run low grey level emphasis 3KUM Long run high grey level emphasis R5YN Grey level non-uniformity OVBL Normalised grey level non-uniformity W92Y Run length non-uniformity IC23 Normalised run length non-uniformity 9ZK5 Run percentage 8CE5 Grey level variance SXLW Run length variance HJ9O Run entropy 9SAK Grey level size zone based features 5QRC Small zone emphasis 48P8 Large zone emphasis XMSY Low grey level zone emphasis 5GN9 High grey level zone emphasis 5RAI Small zone low grey level emphasis HW1V Small zone high grey level emphasis YH51 Large zone low grey level emphasis J17V Large zone high grey level emphasis JNSA Grey level non-uniformity Y1RO Normalised grey level non-uniformity 4JP3 Zone size non-uniformity VB3A Normalised zone size non-uniformity P30P Zone percentage BYLV Grey level variance 3NSA Zone size variance GU8N Zone size entropy VMDZ Grey level distance zone based features 0GBI Small distance emphasis MB4I Large distance emphasis S1RA Low grey level zone emphasis K26C High grey level zone emphasis RUVG Small distance low grey level emphasis DKNJ Small distance high grey level emphasis A7WM Large distance low grey level emphasis KLTH Large distance high grey level emphasis VFT7 Grey level non-uniformity 7HP3 Normalised grey level non-uniformity V294 Zone distance non-uniformity IATH Zone distance non-uniformity normalised VIWW Zone percentage QK93 Grey level variance 7WT1 Zone distance variance GBDU Zone distance entropy IPET Neighbourhood grey tone difference based features QCDE Coarseness 65HE Contrast NQ30 Busyness HDEZ Complexity 1X9X Strength REK0 Neighbouring grey level dependence based features SODN Low dependence emphasis IMOQ High dependence emphasis TL9H Low grey level count emphasis OAE7 High grey level count emphasis EQ3F Low dependence low grey level emphasis JA6D Low dependence high grey level emphasis NBZI High dependence low grey level emphasis 9QMG High dependence high grey level emphasis FP8K Grey level non-uniformity 5SPA Normalised grey level non-uniformity Z87G Dependence count non-uniformity OKJI Dependence count non-uniformity normalised 6XV8 Dependence count percentage 1PFV Grey level variance DNX2 Dependence count variance FCBV Dependence count entropy CAS9 Dependence count energy 5QB6 feature aggregation 3IDG feature computed per slice, and averaged over slices DHQ4 feature computed over the volume BTW3 feature computed from 2D directional matrix and averaged over 2D directions and slices SUJT feature computed from a single matrix after merging 2D directional matrices per slice, and averaged over slices ZW7Z feature computed from a single matrix after merging all 2D directional matrices ITBB feature computed from 3D directional matrix and averaged over 3D directions IAZD feature computed from a single matrix after merging all 3D directional matrices 8QNN feature computed from 2D matrix and averaged over slices 62GR feature computed from a single matrix after merging all 2D matrices KOBO feature computed from 3D matrix MPUJ grid distances LIFZ manhattan norm G9EV euclidean norm PVMT chebyshev norm ECJF ROI submasks SEFI intensity mask G5KJ morphological mask IF9H re-segmentation USB3 range re-segmentation 7ACA outlier filtering 6CK8 distance weighting LQD8 volume voxel representation 4KW8 volume voxel point set representation WRJH volume voxel mesh representation 4R0B discretisation Q3RU fixed bin size K15C fixed bin number 23XZ data conversion PCDE image post-acquisition processing OQYT segmentation VTM2 interpolation 68QD intensity rounding after interpolation E8H9 roi mask partial volume UMPJ interpolation grid 58MB fit to original grid SBKJ align grid origins 3WE3 align grid centers 026Q align grid centers interpolation grid dimensions QCY4 align grid centers grid positions 1OBP ROI extraction JJUI feature computed from a single matrix after merging 2D directional matrices per direction, and averaged over directions GFJV Calculation Run Space CINW FeatureParameterSpace 1XL1 texture matrix aggregation parameters 8QU8 intensity discretization parameters I7X7 histogram equalisation SSX6 Lloyd-Max discretisation OWOH feature specific parameters 9LZ9 asymmetrical co-occurrence matrix 2IQV symmetrical co-occurrence matrix 3S2S distance weighting function V0L6 no distance weighting 4S5Z GLCM specific parameters 0OW5 GLRLM specific parameters 6SLW GLDZM specific parameters MV8M NGTDM specific parameters KQW7 IntVolSpecificParameters X6TI MaximumBound V2QW MinimumBound G5MN isovalue algorithm CRAM marching cube algorithm FFWD Morphological features specific parameters VXRR dependence coarseness parameter NV3D cubic convolution interpolation 2I2N cubic spline interpolation X13G linear interpolation EY9L nearest neighbour interpolation QP79 re-segmentation parameters LQBA spatial filter properties WZSA wavelet basis function QVI9 biorthogonal 3.5 wavelet 2CYL coiflet 1 wavelet FR3E haar wavelet P8W0 frequency IA9Q wavelet filter direction LCNJ HHH wavelet direction S7CG HHL wavelet direction UFRT HLH wavelet direction RZ96 HLL wavelet direction CJ43 LHH wavelet direction 76ZU LHL wavelet direction NTRN LLL wavelet direction 6FPA LLH wavelet direction G6RO image grey level rounding IZBZ edge enhancement ZS1T HistoEqualization Q2ZB LocalAreaHistoEqualization OB71 ImageSpace K7BL ImageVolume OH8W ROIMask GF95 IntensityHistogramStandardDeviation URTB IntensityHistogramTotalEnergy 5ABU Maximum2DDiameterColumn 4S59 Maximum2DDiameterSlice K57E Maximum2DDiameterRow EGTD Textural 5XL6 GLCM_MaximalCorrelationCoefficient 9U4X ZeroOrder PWN1 I10 BOHI I90 JXJA I10minusI90 NK6P V10 4279 V90 WITY V10minusV90 J04R NGLDMSpecificParameters ASHO Voxel NOVP ImageFilterSpace XSJL AbsoluteFiltering 1WTP ButterworthFilter PJBO ColliageFilter FTIJ MedianFilter 9IQY SavitzkyGolayFilter SUUU WaveletFilter WVUQ ROIMask_PartialVolumeCutOff REY6 SegmentationMethods SBDE Automated OAX6 Manual TGHU SemiAutomated 6VTB SupervisedMethods TV5D DeepLearning KJIF NeuralNetwork D3RT SupportVectorMachine ZJJY UnsupervisedMethods 2KAW CMeansFuzzy OPMG Kmean HF5R Manual W455 InPolygon 8LVU RayCasting WAB9 EdgeBased XL0Q GradientEdgeBased N20K HoughTransformBased VZXY LaplacianEdgeBased EOOR MarrHildrethEdgeBased Q6DD ModelBased MGZ1 ActiveShape SR1C AppereanceModel LAQN AtlasModel UU0Q DeformableModel ZCA3 RegionBased RZ08 RegionGrowing A9GC RegionSplitting TAWD SplitAndMerge Q025 WatershedAlgorithm L2WC ThresholdingBased E8C8 GlobalThresholding 81TK LocalAdaptiveThresholding 4VLP Institution DTYK Phantom YUBG Software SU1L SoftwareProperties 59QT License 1DUG OpenSource G91N Proprietary W2J1 Version M9H0 VersionStatus 4AGS Filter application 7QSE filter in axial plane 0ODV volumetric filter GBYQ boundary condition Z3VE constant value SIJG nearest value Z7YO periodic ZDTV mirror S60F MeanFilter YNOF kernel support 8BC3 GaussianFilter L6PA LaplacianFilter 41LN Gaussian envelope scale WGPM Filter size cutoff JTXT Laws kernel filter JVAD Laws kernels B5BZ Laws L3 kernel 6HRH Laws L5 kernel LJ4T Laws E3 kernel 2WPV Laws E5 kernel MK5Z Laws S3 kernel RXA1 Laws S5 kernel 4ENO Laws W5 kernel 3A1W Laws R5 kernel O1AQ Pseudo-rotational invariance SVKW Response map pooling M1CY average 0TAW max DUX4 min PQSD Laws energy map I176 Laws energy map distance Q88H GaborFilter S4N6 Gabor wavelength lambda GDR5 Gabor ellipticity gamma FQER Gabor orientation theta XTGK Gabor orientation theta step 25BO Separable wavelets BPXS Separable wavelet family UOUE haar wavelet UK1F Separable wavelet filter combination PPF6 LL wavelet combination P60O HL wavelet combination M0S1 LH wavelet combination WQ2Z HH wavelet combination KZAS LLL wavelet combination TY49 LLH wavelet combination 4KRX LHL wavelet combination UUV9 HLL wavelet combination UIT8 LHH wavelet combination QTIT HHL wavelet combination 8LD2 HLH wavelet combination OYUC HHH wavelet combination GCEK wavelet decomposition level PH3R Separable wavelet decimated transform CVCQ Separable wavelet undecimated transform LODD Non-separable wavelet 389V Non-separable wavelet family GWM2 Shannon wavelet PRT7 Simoncelli wavelet AYRS Riesz transformation OC48 Riesz transformation order 1SD3 Riesz filter steering XKP5 Image dimension 1F0N k1-direction M2EZ k2-direction R83H k3-direction Y4GJ Convolution operation YHT3 Aggregating intensities from a response map 5P3T Response map 0J1M modulus, magnitude or absolute response map V530 angle, phase or argument response map F7DI real LI3Y imaginary 52 Intensity rounding: Describe how fractional Hounsfield Units are rounded to integer values after interpolation 56a Discretisation method: Describe the method used to discretise image intensities 56b Discretisation method: Describe the number of bins (FBN) or the bin size (FBS) used for discretisation 56c Discretisation method: Describe the lowest intensity in the first bin for FBS discretisation 61 Software availability: Describe which software and version was used to compute image biomarkers 62 Texture matrix aggregation: Define how texture-matrix based biomarkers were computed from underlying texture matrices 63 Distance weighting: Describe which software and version was used to compute image biomarkers
Volume density - axis-aligned bounding box
Area density - axis-aligned bounding box
Volume density - oriented minimum bounding box
Area density - oriented minimum bounding box
Volume density - approximate enclosing ellipsoid
Area density - approximate enclosing ellipsoid
Volume density - minimum volume enclosing ellipsoid
Area density - minimum volume enclosing ellipsoid
Intensity histogram mean absolute deviation
Intensity histogram robust mean absolute deviation
Intensity histogram median absolute deviation
Intensity histogram coefficient of variation
Intensity histogram quartile coefficient of dispersion
Volume fraction difference between intensity fractions
Intensity fraction difference between volume fractions
First measure of information correlation
Second measure of information correlation
Neighbourhood grey tone difference based features
Neighbouring grey level dependence based features
High dependence high grey level emphasis
Dependence count non-uniformity normalised
feature computed per slice, and averaged over slices
feature computed from 2D directional matrix and averaged over 2D directions and slices
feature computed from a single matrix after merging 2D directional matrices per slice, and averaged over slices
feature computed from a single matrix after merging all 2D directional matrices
feature computed from 3D directional matrix and averaged over 3D directions
feature computed from a single matrix after merging all 3D directional matrices
feature computed from 2D matrix and averaged over slices
feature computed from a single matrix after merging all 2D matrices
align grid centers interpolation grid dimensions
feature computed from a single matrix after merging 2D directional matrices per direction, and averaged over directions
Morphological features specific parameters
Aggregating intensities from a response map
modulus, magnitude or absolute response map
Intensity rounding: Describe how fractional Hounsfield Units are rounded to integer values after interpolation
Discretisation method: Describe the method used to discretise image intensities
Discretisation method: Describe the number of bins (FBN) or the bin size (FBS) used for discretisation
Discretisation method: Describe the lowest intensity in the first bin for FBS discretisation
Software availability: Describe which software and version was used to compute image biomarkers
Texture matrix aggregation: Define how texture-matrix based biomarkers were computed from underlying texture matrices
Distance weighting: Describe which software and version was used to compute image biomarkers