Skip to main content

Table 1 Summary of parameters belonging to first- and second-order texture features33-35

From: Characterizing MRI features of rectal cancers with different KRAS status

Texture feature

Histogram (n=9)

Run-length matrix (n=5)

Grey-level co-occurrence matrix (n=11)

Level/Order

First order

Second order

Second order

Description

Histogram where x-axis represents pixel/voxel gray level and y-axis represents frequency of occurrence

Adjacent or consecutive pixels/voxels of a single gray level in a given direction

How often pairs of pixels with specific values in a specified spatial range occur in an image

Parameters

Mean

Short run-length emphasis

Angular second moment

standard deviation

Long run-length emphasis

Contrast

skewness

Run-length non-uniformity

Correlation

Kurtosis

Grey-level non-uniformity

Sum of squares

Perc.1%

Fraction of image in runs

Inverse difference moment

Perc.10%

 

Sum average

Perc.50%

 

Sum variance

Perc.90%

 

Sum entropy

Perc.99%

 

Entropy

  

Difference variance

  

Difference entropy