DocumentCode
2375857
Title
Automatic delineation of the inner thoracic region in non-contrast CT data
Author
Chittajallu, D.R. ; Balanca, P. ; Kakadiaris, I.A.
Author_Institution
Depts. of Comput. Sci., Elec. & Comp. Eng., & Biomed. Eng., Univ. of Houston, Houston, TX, USA
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
3569
Lastpage
3572
Abstract
The inner thoracic region consists of several important anatomical structures and an accurate delineation of this region is an essential step for various biomedical image analysis applications. In this paper, we present a fully automatic graph-based method for the delineation of the inner thoracic region in non-contrast cardiac CT data. In particular, we reformulate the problem of delineating the inner thoracic region as an optimal surface segmentation problem, the solution to which is obtained by computing the minimum-cost closed set in a node-weighted directed graph. Comparing the results obtained using our method with manual segmentations performed by an expert on non-contrast cardiac CT scans of 20 randomly selected patients indicated an overlap of 99.1 plusmn 0.2%.
Keywords
computerised tomography; directed graphs; image segmentation; medical image processing; anatomical structure; automatic delineation; biomedical image analysis; inner thoracic region; minimum-cost closed set; node weighted directed graph; noncontrast CT data; surface segmentation problem; Algorithms; Artificial Intelligence; Automation; Computer Simulation; Heart; Humans; Imaging, Three-Dimensional; Lung; Models, Statistical; Pattern Recognition, Automated; Radiographic Image Interpretation, Computer-Assisted; Radiography, Thoracic; Reproducibility of Results; Tomography, X-Ray Computed;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5332585
Filename
5332585
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