The Lobe Fissure Tracking by the Modified Ant Colony Optimization Framework in CT Images
學年 103
學期 1
出版（發表）日期 2014-12-01
作品名稱 The Lobe Fissure Tracking by the Modified Ant Colony Optimization Framework in CT Images
作品名稱（其他語言）
著者 Chii-Jen Chen*; You-Wei Wang; Wei-Chih Shen; Chih-Yi Chen; Wen-Pinn Fang
單位
出版者
著錄名稱、卷期、頁數 Algorithms 7(4), p.635-649
摘要 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.
關鍵字 CT;ant colony optimization algorithm;lung;lobe fissure;segmentation
語言 en_US
ISSN 1999-4893
期刊性質 國外
收錄於 EI
產學合作
通訊作者
審稿制度 是
國別 CHE
公開徵稿
出版型式 ,電子版,紙本
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