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A liver level set (LLS) algorithm for extracting liver’s volume containing disconnected regions automatically


Citation

Sulaiman, Puteri Suhaiza and Rahmat, Rahmita Wirza and Mahmod, Ramlan and Abd Rashid, Abd Hamid (2008) A liver level set (LLS) algorithm for extracting liver’s volume containing disconnected regions automatically. International Journal of Computer Science and Network Security, 8 (12). pp. 246-252. ISSN 1738-7906

Abstract / Synopsis

In this paper a specified method is presented to facilitate segmentation of liver volume from CT images that contain disconnected regions automatically. The disconnected region appears because the physic of the liver containing multi-lobe structure, thus different lobe make different region in a single slice image. Most of the available liver segmentation algorithms that are based on gray level operation such as thresholding and active contour fail to extract the liver volume from these images automatically. Thus the core of the algorithm is a level set function that has the availability to manage separating and joining liver boundary routinely. The liver level set (LLS) is separated into two stages which a pre-processing stage and a level set with a hybrid energy minimization algorithm. The current slice is initialized by previous segmented liver boundary allowing changes in liver boundary topological changes to be inherited. The result show a respective segmentation with average 85% DCS when comparing with manual segmentation.


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Additional Metadata

Item Type: Article
Subject: Medicine - Computer simulation
Subject: Diagnostic imaging - Digital techniques
Subject: Liver - Anatomy - Atlases
Divisions: Faculty of Computer Science and Information Technology
Keywords: Image processing; Liver segmentation; Disconnected region; Level set algorithm
Depositing User: Umikalthom Abdullah
Date Deposited: 07 Dec 2011 02:20
Last Modified: 13 Dec 2012 07:59
URI: http://psasir.upm.edu.my/id/eprint/12711
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