Analytical Study on Watershed Segmentation of the Pulmonary Lobes from Chest CT Scan Images

K.K. Thanammal¹

1. Department of MCA, S.T.Hindu College, Nagercoil, India.

Correspondence should be addressed to: thanaravindran@gmail.com.

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.3 , pp.98-103, Jun-2017

Online published on Jun 30, 2017

Copyright © K.K. Thanammal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
Medical imaging is the technique that is used to produce images of human body parts for clinical purpose. The CT images provide thorough information of structure of lungs, which could be used for better surgical preparation for treating lung diseases. This work proposes a method for segmentation from the given CT images. The lungs lobar markers are calculated by an analysis of the automatically labeled bronchial tree and lobes information from several anatomical features. The water shed segmentation method is analyzed for radiologists to give early diagnosing report of lung diseases.

Key-Words / Index Term :
Image segmentation, Image analysis, Medical Image Segmentation, CT scan

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