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Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images
Joint Authors
Jung, Ho Yub
Jang, Yeonggul
Hong, Youngtaek
Cho, Iksung
Shim, Hackjoon
Chang, Hyuk-Jae
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-20
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
This paper presents a method for the automatic 3D segmentation of the ascending aorta from coronary computed tomography angiography (CCTA).
The segmentation is performed in three steps.
First, the initial seed points are selected by minimizing a newly proposed energy function across the Hough circles.
Second, the ascending aorta is segmented by geodesic distance transformation.
Third, the seed points are effectively transferred through the next axial slice by a novel transfer function.
Experiments are performed using a database composed of 10 patients’ CCTA images.
For the experiment, the ground truths are annotated manually on the axial image slices by a medical expert.
A comparative evaluation with state-of-the-art commercial aorta segmentation algorithms shows that our approach is computationally more efficient and accurate under the DSC (Dice Similarity Coefficient) measurements.
American Psychological Association (APA)
Jang, Yeonggul& Jung, Ho Yub& Hong, Youngtaek& Cho, Iksung& Shim, Hackjoon& Chang, Hyuk-Jae. 2016. Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1100133
Modern Language Association (MLA)
Jang, Yeonggul…[et al.]. Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1100133
American Medical Association (AMA)
Jang, Yeonggul& Jung, Ho Yub& Hong, Youngtaek& Cho, Iksung& Shim, Hackjoon& Chang, Hyuk-Jae. Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1100133
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100133