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

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 sin...

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Main Authors: Sulaiman, Puteri Suhaiza, O. K. Rahmat, Rahmita Wirza, Mahmod, Ramlan, Abdul Rashid, Abdul Hamid
Format: Article
Language:English
Published: IJCSNS 2008
Online Access:http://psasir.upm.edu.my/id/eprint/12711/1/A%20liver%20level%20set%20%28LLS%29%20algorithm%20for%20extracting%20liver%27s%20volume%20containing%20disconnected%20regions%20automatically.pdf
http://psasir.upm.edu.my/id/eprint/12711/
http://paper.ijcsns.org/07_book/html/200812/200812035.html
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spelling my.upm.eprints.127112018-10-24T08:35:33Z http://psasir.upm.edu.my/id/eprint/12711/ A liver level set (LLS) algorithm for extracting liver's volume containing disconnected regions automatically Sulaiman, Puteri Suhaiza O. K. Rahmat, Rahmita Wirza Mahmod, Ramlan Abdul Rashid, Abdul Hamid 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. IJCSNS 2008-12 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/12711/1/A%20liver%20level%20set%20%28LLS%29%20algorithm%20for%20extracting%20liver%27s%20volume%20containing%20disconnected%20regions%20automatically.pdf Sulaiman, Puteri Suhaiza and O. K. Rahmat, Rahmita Wirza and Mahmod, Ramlan and Abdul Rashid, Abdul 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 http://paper.ijcsns.org/07_book/html/200812/200812035.html
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description 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.
format Article
author Sulaiman, Puteri Suhaiza
O. K. Rahmat, Rahmita Wirza
Mahmod, Ramlan
Abdul Rashid, Abdul Hamid
spellingShingle Sulaiman, Puteri Suhaiza
O. K. Rahmat, Rahmita Wirza
Mahmod, Ramlan
Abdul Rashid, Abdul Hamid
A liver level set (LLS) algorithm for extracting liver's volume containing disconnected regions automatically
author_facet Sulaiman, Puteri Suhaiza
O. K. Rahmat, Rahmita Wirza
Mahmod, Ramlan
Abdul Rashid, Abdul Hamid
author_sort Sulaiman, Puteri Suhaiza
title A liver level set (LLS) algorithm for extracting liver's volume containing disconnected regions automatically
title_short A liver level set (LLS) algorithm for extracting liver's volume containing disconnected regions automatically
title_full A liver level set (LLS) algorithm for extracting liver's volume containing disconnected regions automatically
title_fullStr A liver level set (LLS) algorithm for extracting liver's volume containing disconnected regions automatically
title_full_unstemmed A liver level set (LLS) algorithm for extracting liver's volume containing disconnected regions automatically
title_sort liver level set (lls) algorithm for extracting liver's volume containing disconnected regions automatically
publisher IJCSNS
publishDate 2008
url http://psasir.upm.edu.my/id/eprint/12711/1/A%20liver%20level%20set%20%28LLS%29%20algorithm%20for%20extracting%20liver%27s%20volume%20containing%20disconnected%20regions%20automatically.pdf
http://psasir.upm.edu.my/id/eprint/12711/
http://paper.ijcsns.org/07_book/html/200812/200812035.html
_version_ 1643825111189422080
score 13.211869

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