International Journal of Biomedical Imaging / 2012 / Article / Tab 1

Review Article

MRI Texture Analysis in Multiple Sclerosis

Table 1

Overview of common texture analysis approaches in MS.

Statistical approach

 First-orderGlobal assessment of pixel distributionSelf-explanatory yet lack of detail
  Gray-level cooccurrence matrix (GLCM)Joint probability of two pixels having
cooccurring gray level values at a given
distance and direction
Multiple properties of a texture
(coarseness, correlation, contrast), less
sensitive to larger scales
  Run length matrix (RLM)The number of times two or more pixels
having the same value in a preset direction
Several properties of a texture
(coarseness), less sensitive to larger scales

Spectral approach
 Fourier transformEntire frequency profile, using sinusoid
basis functions
Useful for signals without temporal
 Wavelet transformScale-based frequency content, using a
deformable localizing “mother” wavelet as
basis function
Multiscale analysis; less intuitive and can
be computation-expensive
 Stockwell transformScale-based frequency content, using fast
Fourier transform and a flexible Gaussian
localizing window
Fourier-based multiscale frequency content; computation time varies by
image size and algorithm

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