. Author manuscript; available in PMC: 2014 Jun 5.

Published in final edited form as: Proc SPIE Int Soc Opt Eng. 2014 Mar 18;9035:90352B. doi: 10.1117/12.2043969

Table 1.

Biological relevance and significance of the texture features explored in this work in distinguishing RN/rBT on multi-parametric MRI.

Feature set	Significance	Biological relevance in distinguishing RN/rBT
Laws Energy (25)	Filter masks extract level, edges, waves, ripples, spot patterns	Appearance of ROI (wavefront, soap bubble)
Haralick Texture (13)	Statistics of gray-level co- occurrence matrices such as angular second moment, con trast and difference entropy	Structural Heterogeneity
Laplacian pyramids (24)	Multi-resolution filters capture edges at different levels	Prominent edges between RN, rBT appearance
Gradient orientations (57)	Intensity orientation captures prominent direction of intensity change	Cellular activity, local entropy