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Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans
Joint Authors
Falk, Robert
Farag, Aly
El-Baz, Ayman
Elnakib, Ahmed
Gimel'farb, Georgy
Abou El-Ghar, Mohamed
Source
International Journal of Biomedical Imaging
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-12
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Automatic detection of lung nodules is an important problem in computer analysis of chest radiographs.
In this paper, we propose a novel algorithm for isolating lung abnormalities (nodules) from spiral chest low-dose CT (LDCT) scans.
The proposed algorithm consists of three main steps.
The first step isolates the lung nodules, arteries, veins, bronchi, and bronchioles from the surrounding anatomical structures.
The second step detects lung nodules using deformable 3D and 2D templates describing typical geometry and gray-level distribution within the nodules of the same type.
The detection combines the normalized cross-correlation template matching and a genetic optimization algorithm.
The final step eliminates the false positive nodules (FPNs) using three features that robustly define the true lung nodules.
Experiments with 200 CT data sets show that the proposed approach provided comparable results with respect to the experts.
American Psychological Association (APA)
El-Baz, Ayman& Elnakib, Ahmed& Abou El-Ghar, Mohamed& Gimel'farb, Georgy& Falk, Robert& Farag, Aly. 2013. Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans. International Journal of Biomedical Imaging،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-478011
Modern Language Association (MLA)
El-Baz, Ayman…[et al.]. Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans. International Journal of Biomedical Imaging No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-478011
American Medical Association (AMA)
El-Baz, Ayman& Elnakib, Ahmed& Abou El-Ghar, Mohamed& Gimel'farb, Georgy& Falk, Robert& Farag, Aly. Automatic Detection of 2D and 3D Lung Nodules in Chest Spiral CT Scans. International Journal of Biomedical Imaging. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-478011
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478011