Application of Fractal and Grey Level Co-Occurrence Matrix Analysis in Evaluation of Brain Corpus Callosum and Cingulum Architecture
2014
Authors:
Pantic, IgorDacic, Sanja
Brkic, Predrag
Lavrnja, Irena
Pantic, Senka
Jovanovic, Tomislav
Peković, Sanja
Document Type:
Article (Published version)
Metadata
Show full item recordAbstract:
This aim of this study was to assess the discriminatory value of fractal
and grey level co-occurrence matrix (GLCM) analysis methods in standard
microscopy analysis of two histologically similar brain white mass
regions that have different nerve fiber orientation. A total of 160
digital micrographs of thionine-stained rat brain white mass were
acquired using a Pro-MicroScan DEM-200 instrument. Eighty micrographs
from the anterior corpus callosum and eighty from the anterior cingulum
areas of the brain were analyzed. The micrographs were evaluated using
the National Institutes of Health ImageJ software and its plugins. For
each micrograph, seven parameters were calculated: angular second
moment, inverse difference moment, GLCM contrast, GLCM correlation, GLCM
variance, fractal dimension, and lacunarity. Using the Receiver
operating characteristic analysis, the highest discriminatory value was
determined for inverse difference moment (IDM) (area under the receiver
operating characteristic (ROC) curve equaled 0.925, and for the
criterion IDM <= 0.610 the sensitivity and specificity were 82.5 and
87.5\%, respectively). Most of the other parameters also showed good
sensitivity and specificity. The results indicate that GLCM and fractal
analysis methods, when applied together in brain histology analysis, are
highly capable of discriminating white mass structures that have
different axonal orientation.
Keywords:
axon; directionality; texture; sensitivity; discriminatory valueSource:
Microscopy and Microanalysis, 2014, 20, 5, 1373-1381
DOI: 10.1017/S1431927614012811
ISSN: 1435-8115