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Segmentation of Pulmonary Vascular Trees from Thoracic 3D CT Images
Joint Authors
Hoffman, Eric A.
Sonka, Milan
McLennan, Geoffrey
Shikata, Hidenori
Source
International Journal of Biomedical Imaging
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-12-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper describes an algorithm for extracting pulmonary vascular trees (arteries plus veins) from three-dimensional (3D) thoracic computed tomographic (CT) images.
The algorithm integrates tube enhancement filter and traversal approaches which are based on eigenvalues and eigenvectors of a Hessian matrix to extract thin peripheral segments as well as thick vessels close to the lung hilum.
The resultant algorithm was applied to a simulation data set and 44 scans from 22 human subjects imaged via multidetector-row CT (MDCT) during breath holds at 85% and 20% of their vital capacity.
A quantitative validation was performed with more than 1000 manually identified points selected from inside the vessel segments to assess true positives (TPs) and 1000 points randomly placed outside of the vessels to evaluate false positives (FPs) in each case.
On average, for both the high and low volume lung images, 99% of the points was properly marked as vessel and 1% of the points were assessed as FPs.
Our hybrid segmentation algorithm provides a highly reliable method of segmenting the combined pulmonary venous and arterial trees which in turn will serve as a critical starting point for further quantitative analysis tasks and aid in our overall goal of establishing a normative atlas of the human lung.
American Psychological Association (APA)
Shikata, Hidenori& McLennan, Geoffrey& Hoffman, Eric A.& Sonka, Milan. 2009. Segmentation of Pulmonary Vascular Trees from Thoracic 3D CT Images. International Journal of Biomedical Imaging،Vol. 2009, no. 2009, pp.1-11.
https://search.emarefa.net/detail/BIM-487033
Modern Language Association (MLA)
Shikata, Hidenori…[et al.]. Segmentation of Pulmonary Vascular Trees from Thoracic 3D CT Images. International Journal of Biomedical Imaging No. 2009 (2009), pp.1-11.
https://search.emarefa.net/detail/BIM-487033
American Medical Association (AMA)
Shikata, Hidenori& McLennan, Geoffrey& Hoffman, Eric A.& Sonka, Milan. Segmentation of Pulmonary Vascular Trees from Thoracic 3D CT Images. International Journal of Biomedical Imaging. 2009. Vol. 2009, no. 2009, pp.1-11.
https://search.emarefa.net/detail/BIM-487033
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487033