Deformable Model Based Marked Controlled Liver Ct-Scan Image Segmentation

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2017 by IJETT Journal
Volume-46 Number-4
Year of Publication : 2017
Authors : B.Manasa, L.Akhila, G.Shivaji Babu
DOI :  10.14445/22315381/IJETT-V46P239


B.Manasa, L.Akhila, G.Shivaji Babu "Deformable Model Based Marked Controlled Liver Ct-Scan Image Segmentation", International Journal of Engineering Trends and Technology (IJETT), V46(4),226-230 April 2017. ISSN:2231-5381. published by seventh sense research group

Liver is a gland that plays a major role in metabolism with numerous functions in the human body, including regulation of glycogen storage, decomposition of red blood cells, plasma protein synthesis, hormone production, and detoxification. The diagnosis of liver disease is made by liver function tests, groups of blood tests that can readily show the extent of liver damage. If infection is suspected, then other serological tests will be carried out. Sometimes, an ultrasound or a CT scan is needed to produce an image of the liver. Physical examination of the liver can only reveal its size and any tenderness, and some form of imaging will also be needed. Computerized liver tumor segmentation on contrast-enhanced method is proposed for CT images. It is a challenging problem due to the great diversity of shape, intensity and texture. Deformable models such a 3D active surface a previously existing 2D active contour mode. GVF based active contour techniques are used to segmented the liver in the CT scan image and detects the fatty liver and identify the various problems. Pre- Processing is done by adaptive bilateral filter which remove noise improves contrast and preserves edges. A marker controlled active contour method is proposed for liver segmentation. The performance of the proposed method is evaluated.


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Liver analysis, bilateral filtering, active contour techniques, dice coefficients.