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同様の機能はGRAPHYのRadiomics機能（標準搭載機能）からもご利用いただけます。
How to
How to
インプット：グレースケール画像（8,16,32 bits）、マスク画像
2D, 3D処理に対応しています。スライスごとの解析、スタックごとの解析の両方に対応できます。
2D-Meshは非対応ですが、Shape2D特徴として、ピクセルカウントベースの解析結果を取得できます。
マスクラベルの値は1～255の値に対応しています。デフォルトは１です。マスク画像のピクセル値に合わせて変更してください（例えば、マスク領域が255の場合は、マスクラベルを255として計算実行します）。
モルフォロジカル特徴のうち、Moran's I index、Geary's C measure はデフォルト設定から除外されています。計算時間がかかるためです。必要な場合は、activate_no_default_featuresをTrueにしてください。
IBSIリファレンスマニュアルで推奨されていない、あるいは、参考値のない特徴は未実装です（AUC-IVHなど、実装があるものもありますが、検証は完了していません）。
Radiomics Features
Radiomics Features
It calculates 170 features or more.
Morphological features :
VolumeMesh
VolumeVoxelCounting
SurfaceAreaMesh
SurfaceToVolumeRatio
Compactness
Compactness
SphericalDisproportion
Sphericity
Asphericity
CentreOfMassShift
Maximum3DDiameter
MajorAxisLength
MinorAxisLength
LeastAxisLength
Elongation
Flatness
VolumeDensity_AxisAlignedBoundingBox
AreaDensity_AxisAlignedBoundingBox
VolumeDensity_ApproximateEnclosingEllipsoid
AreaDensity_ApproximateEnclosingEllipsoid
VolumeDensity_ConvexHull
AreaDensity_ConvexHull
IntegratedIntensity
MoransIIndex
GearysCMeasure
IntensityBasedStatistics features
Mean
Variance
Skewness
Kurtosis
Median
Minimum
Percentile10
Percentile90
Maximum
Interquartile
Range
MeanAbsoluteDeviation
RobustMeanAbsoluteDeviation
MedianAbsoluteDeviation
CoefficientOfVariation
QuartileCoefficientOfDispersion
Energy, 567.0
RootMeanSquared
TotalEnergy*
StandardDeviation*
StandardError*
IntensityHistogram features
MeanDiscretisedIntensity
Variance
Skewness
Kurtosis
Median
Minimum
Percentile10
Percentile90
Maximum
Mode
Interquartile
Range
MeanAbsoluteDeviation
RobustMeanAbsoluteDeviation
MedianAbsoluteDeviation
CoefficientOfVariation
QuartileCoefficientOfDispersion
Entropy
Uniformity
MaximumHistogramGradient
MaximumHistogramGradientIntensity
MinimumHistogramGradient
MinimumHistogramGradientIntensity
IntensityVolumeHistogram features
VolumeAtIntensityFraction10
VolumeAtIntensityFraction90
IntensityAtVolumeFraction10
IntensityAtVolumeFraction90
VolumeFractionDifferenceBetweenIntensityFractions
IntensityFractionDifferenceBetweenVolumeFractions
GLCM features
JointMaximum
JointAverage
JointVariance
JointEntropy
DifferenceAverage
DifferenceVariance
DifferenceEntropy
SumAverage
SumVariance
SumEntropy
AngularSecondMoment
Contrast
Dissimilarity
InverseDifference
NormalizedInverseDifference
InverseDifferenceMoment
NormalizedInverseDifferenceMoment
InverseVariance
Correlation
Autocorrection
ClusterTendency
ClusterShade
ClusterProminence
InformationalMeasureOfCorrelation1
InformationalMeasureOfCorrelation2
GLRLM features
ShortRunEmphasis
LongRunEmphasis
LowGrayLevelRunEmphasis
HighGrayLevelRunEmphasis
ShortRunLowGrayLevelEmphasis
ShortRunHighGrayLevelEmphasis
LongRunLowGrayLevelEmphasis
LongRunHighGrayLevelEmphasis
GrayLevelNonUniformity
GrayLevelNonUniformityNormalized
RunLengthNonUniformity
RunLengthNonUniformityNormalized
RunPercentage
GrayLevelVariance
RunLengthVariance
RunEntropy
GLSZM features
SmallZoneEmphasis
LargeZoneEmphasis
LowGrayLevelZoneEmphasis
HighGrayLevelZoneEmphasis
SmallZoneLowGrayLevelEmphasis
SmallZoneHighGrayLevelEmphasis
LargeZoneLowGrayLevelEmphasis
LargeZoneHighGrayLevelEmphasis
GrayLevelNonUniformity
GrayLevelNonUniformityNormalized
SizeZoneNonUniformity
SizeZoneNonUniformityNormalized
ZonePercentage
GrayLevelVariance
ZoneSizeVariance
ZoneSizeEntropy
GLDZM features
SmallDistanceEmphasis
LargeDistanceEmphasis
LowGrayLevelZoneEmphasis
HighGrayLevelZoneEmphasis
SmallDistanceLowGrayLevelEmphasis
SmallDistanceHighGrayLevelEmphasis
LargeDistanceLowGrayLevelEmphasis
LargeDistanceHighGrayLevelEmphasis
GrayLevelNonUniformity
GrayLevelNonUniformityNormalized
ZoneDistanceNonUniformity
ZoneDistanceNonUniformityNormalized
ZonePercentage
GrayLevelVariance
ZoneDistanceVariance
ZoneDistanceEntropy
NGTDM features
Coarseness
Contrast
Busyness
Complexity
Strength
NGLDM features
LowDependenceEmphasis
HighDependenceEmphasis
LowGrayLevelCountEmphasis
HighGrayLevelCountEmphasis
LowDependenceLowGrayLevelEmphasis
LowDependenceHighGrayLevelEmphasis
HighDependenceLowGrayLevelEmphasis
HighDependenceHighGrayLevelEmphasis
GrayLevelNonUniformity
GrayLevelNonUniformityNormalized
DependenceCountNonUniformity
DependenceCountNonUniformityNormalized
GrayLevelVariance
DependenceCountVariance
DependenceCountEntropy
DependenceCountEnergy
Fractal features
Capacity*
References
References
Kobayashi, T. RadiomicsJ: a library to compute radiomic features. Radiol Phys Technol 15, 255–263 (2022). https://doi.org/10.1007/s12194-022-00664-4
European Society of Radiology (ESR). ESR Statement on the Validation of Imaging Biomarkers. Insights Imaging 11, 76 (2020). https://doi.org/10.1186/s13244-020-00872-9
ESR: Biomarkers Inventory, https://www.myesr.org/research/biomarkers-inventory
Image Biomarker Standardisation Initiative: https://theibsi.github.io/
Zwanenburg, Alex et al. “The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.” Radiology vol. 295,2 (2020): 328-338. doi:10.1148/radiol.2020191145
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