Tessamma, Thomas; Ananda Resmi, S(ACEEE, November , 2010)
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Abstract:
Low grade and High grade Gliomas are tumors
that originate in the glial cells. The main challenge in brain
tumor diagnosis is whether a tumor is benign or malignant,
primary or metastatic and low or high grade. Based on the
patient's MRI, a radiologist could not differentiate whether it
is a low grade Glioma or a high grade Glioma. Because both
of these are almost visually similar, autopsy confirms the
diagnosis of low grade with high-grade and infiltrative
features. In this paper, textural description of Grade I and
grade III Glioma are extracted using First order statistics and
Gray Level Co-occurance Matrix Method (GLCM). Textural
features are extracted from 16X16 sub image of the
segmented Region of Interest(ROI) .In the proposed method,
first order statistical features such as contrast, Intensity ,
Entropy, Kurtosis and spectral energy and GLCM features
extracted were showed promising results. The ranges of these
first order statistics and GLCM based features extracted are
highly discriminant between grade I and Grade III. In this
study which gives statistical textural information of grade I
and grade III Glioma which is very useful for further
classification and analysis and thus assisting Radiologist in
greater extent.
Description:
Int. J. of Recent Trends in Engineering and Technology, Vol. 4, No. 3, Nov 2010