Liver hydatid CT image segmentation based on localizing region active contours and modified parametric active contours

Liver hydatid disease is a common parasitic disease in farm and pastoral areas and seriously damages people's health. Based on CT imaging features of this disease, we perform experiments on the segmentation of the Liver hydatid CT image. The experimental results show that: according to the inte...

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Bibliographic Details
Published in2014 7th International Conference on Biomedical Engineering and Informatics pp. 217 - 221
Main Authors Jian-Jun Chen, Kutluk, Abdugheni, Yan-Ting Hu, Hamit, Murat
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Active contours
Biomedical imaging
Computed tomography
Diseases
Image segmentation
Lesions
Liver
Liver hydatid disease
modified parameter
seed regions
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Summary:Liver hydatid disease is a common parasitic disease in farm and pastoral areas and seriously damages people's health. Based on CT imaging features of this disease, we perform experiments on the segmentation of the Liver hydatid CT image. The experimental results show that: according to the intensity distribution characteristics expressed by different tissues in liver hydatid CT image, localizing region active contours and modified parametric active contours is practical to liver and hydatid lesions segmentation simultaneously from liver hydatid CT images. we obtain the optimal segmentations and improve the internal and external statistical smoothness of liver hydatid CT image by adjusting local selected area size and a reasonable location dimension should be commonly employed because of the sensitive of the initialization.
ISSN:1948-2914
1948-2922
DOI:10.1109/BMEI.2014.7002773