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Algorithms 2014, 7(4), 635-649; doi:10.3390/a7040635

The Lobe Fissure Tracking by the Modified Ant Colony Optimization Framework in CT Images

1
Department of Computer Science and Information Engineering, Yuanpei University of Medical Technology, Hsinchu 30015, Taiwan
2
Department of Computer Science and Information Engineering, National Taiwan University, Taipei 10617, Taiwan
3
Department of Computer Science and Information Engineering, Asia University, Taichung 40402, Taiwan
4
Institute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan
*
Author to whom correspondence should be addressed.
Received: 16 June 2014 / Revised: 8 November 2014 / Accepted: 17 November 2014 / Published: 24 November 2014
(This article belongs to the Special Issue Advanced Data Processing Algorithms in Engineering)
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Abstract

Chest computed tomography (CT) is the most commonly used technique for the inspection of lung lesions. However, the lobe fissures in lung CT is still difficult to observe owing to its imaging structure. Therefore, in this paper, we aimed to develop an efficient tracking framework to extract the lobe fissures by the proposed modified ant colony optimization (ACO) algorithm. We used the method of increasing the consistency of pheromone on lobe fissure to improve the accuracy of path tracking. In order to validate the proposed system, we had tested our method in a database from 15 lung patients. In the experiment, the quantitative assessment shows that the proposed ACO method achieved the average F-measures of 80.9% and 82.84% in left and right lungs, respectively. The experiments indicate our method results more satisfied performance, and can help investigators detect lung lesion for further examination. View Full-Text
Keywords: CT; ant colony optimization algorithm; lung; lobe fissure; segmentation CT; ant colony optimization algorithm; lung; lobe fissure; segmentation
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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. (CC BY 4.0).

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MDPI and ACS Style

Chen, C.-J.; Wang, Y.-W.; Shen, W.-C.; Chen, C.-Y.; Fang, W.-P. The Lobe Fissure Tracking by the Modified Ant Colony Optimization Framework in CT Images. Algorithms 2014, 7, 635-649.

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