Copyright
©The Author(s) 2021.
World J Gastroenterol. Jul 7, 2021; 27(25): 3802-3814
Published online Jul 7, 2021. doi: 10.3748/wjg.v27.i25.3802
Published online Jul 7, 2021. doi: 10.3748/wjg.v27.i25.3802
“Order” | Paraphrase | Categories | Description |
First-order | Based on an intensity histogram of pixel values, providing no information on neighboring interactions or the spatial distribution | Mean | Average intensity of the pixels |
Skewness | Asymmetry of histogram | ||
Kurtosis | Magnitude of pixel distribution | ||
Entropy | Irregularity of the structure | ||
Second-order | Considers the spatial relationship between 2 pixels | Grey level co-occurrence matrix (GLCM) | Frequency of specific gray values along a distance or direction |
Grey level run Length Matrix (GLRLM) | Length of consecutive pixels or voxels with the same grey values in a specific direction | ||
Grey level size zone matrix (GLSZM) | Length of consecutive pixels or voxels with the same grey values in all directions | ||
Superior-order | Describes the neighborhood gray difference matrices and the relationship between 3 or more pixels | Neighboring gray tone difference matrix (NGTDM) | Describes the sum and average grey levels of discretized voxels in planes |
Gray level dependence matrix (GLDM) | Describes the coarseness of overall texture by evaluating the grey levels between a voxel and the neighborhood in 3 dimensions |
- Citation: Hou M, Sun JH. Emerging applications of radiomics in rectal cancer: State of the art and future perspectives. World J Gastroenterol 2021; 27(25): 3802-3814
- URL: https://www.wjgnet.com/1007-9327/full/v27/i25/3802.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i25.3802