NDLI: A Locally Constrained Random Walk Approach for Airway Segmentation of Low-Contrast Computed Tomography (CT) Image

Content Provider	IEEE Xplore Digital Library
Author	Huang, R. Lei Bi Changyang Li Younhyun Jung Jinman Kim Fulham, M. Feng, D.D.
Copyright Year	2015
Description	Author affiliation: Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW, Australia (Huang, R.; Lei Bi; Changyang Li; Younhyun Jung; Jinman Kim; Feng, D.D.) \|\| Dept. of Mol. Imaging, R. Prince Alfred Hosp., NSW, Australia (Fulham, M.)
Abstract	Positron emission tomography (PET) combined with computed tomography (CT) is a routine imaging modality for the diagnosis and interpretation of malignant diseases of the thorax. Accurate airway segmentation is critical for the localization of sites of abnormal metabolism detected with PET-CT. The vast majority of published segmentation algorithms, however, are designed for high- resolution CT and these algorithms do not perform well with the low-contrast CT acquired in PET-CT images. In this study, we present a new fully automated airway segmentation algorithm that is optimised to tolerate the image characteristics inherent in low-contrast CT images. Our algorithm accurately and robustly segments the airway by introducing: (i) a robust multi-atlas initialisation which incorporates shape priori knowledge for seeds derivation; and (ii) a modified knowledge-based random walk segmentation that uses the derived seeds and manipulates the weights of the edge paths in a locally constrained search space. Our proposed algorithm was evaluated on 20 clinical low-contrast CT from PET-CT patient studies and demonstrated better performance in segmentation results against comparative state-of- the-art algorithms.
Starting Page	1
Ending Page	7
File Size	4114377
Page Count	7
File Format	PDF
e-ISBN	9781467367950
DOI	10.1109/DICTA.2015.7371216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-23
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image segmentation Shape Computed tomography Image edge detection Electronic mail Approximation methods
Content Type	Text
Resource Type	Article

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