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
Pedicle screw insertion technique has made revolution in the surgical treatment of spinal fractures and spinal disorders. Although X- ray fluoroscopy based navigation is popular, there is risk of prolonged exposure to X- ray radiation. Systems that have lower radiation risk are generally quite expensive. The position and orientation of the drill is clinically very important in pedicle screw fixation. In this paper, the position and orientation of the marker on the drill is determined using pattern recognition based methods, using geometric features, obtained from the input video sequence taken from CCD camera. A search is then performed on the video frames after preprocessing, to obtain the exact position and orientation of the drill. An animated graphics, showing the instantaneous position and orientation of the drill is then overlaid on the processed video for real time drill control and navigation