NDLI: Automatic extraction of three dimensional lung texture tree from HRCT images

Content Provider	IEEE Xplore Digital Library
Author	Tong Tong Yufeng Huang Xingjia Wang Huanqing Feng Chuanfu Li
Copyright Year	2010
Description	Author affiliation: Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, Anhui 230027, China (Tong Tong; Yufeng Huang; Xingjia Wang; Huanqing Feng) \|\| Medical Image Center, the First Affiliated Hospital, Anhui Traditional Medicine College, Hefei, 230031, China (Chuanfu Li)
Abstract	Accurate segmentation of lung texture tree is an essential step for diagnosing pulmonary diseases, including pulmonary emboli and nodules detection, which provides powerful information for research of automatic computer-aided diagnostic (CAD) systems. It still remains a challenging problem because of partial volume effects, high density airway walls and no difference on CT values between arteries and veins. In this paper, we present a novel approach to automatically extract lung tissue textures which contain bronchus and pulmonary veins and arteries. Firstly, we extract the bronchus branch by branch with an adaptive region growing approach. Secondly, a new technique based on selective marking and depth constrained (SMDC)-connection cost is proposed to segment the lung blood vessels. At last, we present a new method to separate the lung blood vessels into pulmonary veins and arteries by using an anatomical feature between each vessel and bronchus. About 91% of arteries and 92% of veins are correctly extracted. The results show that the proposed algorithm provides an automatic and efficient method to extract pulmonary veins and arteries and bronchus.
Starting Page	198
Ending Page	202
File Size	600391
Page Count	5
File Format	PDF
ISBN	9781424467754
e-ISBN	9781424467754
DOI	10.1109/ICBBT.2010.5478978
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Region growing Blood vessels AV separation SMDC-connection cost Data mining Lung tree extraction Arteries Diseases Coronary arteriosclerosis Image segmentation Lungs Veins Computed tomography Biomedical imaging
Content Type	Text
Resource Type	Article

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