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Table 2 Texture parameters computed by MaZda

From: Additive value of texture analysis based on breast MRI for distinguishing between benign and malignant non-mass enhancement in premenopausal women

Texture feature algorithm

Parameters

RLM

Grey-level/run-length nonuniformity, long/short run emphasis, fraction of image in runs

ARM

Model parameter vector includes 4 parameters; Sigma: standard deviation of the noise

Wavelet

Energy of the wavelet coefficients in subbands

GrM

Kurtosis, skewness, variance, mean, percentage of pixels with a nonzero gradient

Histogram

Skewness; mean; kurtosis; variance; and perc. 01%, perc. 10%, perc. 50%, perc. 90%, and perc. 99%

COM

Angular second moment, correlation, contrast, sum of squares, inverse difference moment, sum variance, sum average, sum entropy, entropy, difference variance, difference entropy

  1. RLM, run-length matrix; ARM, Auto-regressive model; GrM, absolute gradient; COM, co-occurrence matrix parameters