Automated segmentation of thoracic aorta in non-contrast CT images

Uday Kurkure; Olga C. Avila-Montes; Ioannis A. Kakadiaris

doi:10.1109/ISBI.2008.4540924

Automated segmentation of thoracic aorta in non-contrast CT images

Uday Kurkure, Olga C. Avila-Montes, Ioannis A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

39 Scopus citations

Abstract

Aortic calcification has been shown to be related to cardiovascular disease. In this paper, we present a novel method for localization and segmentation of thoracic aorta in non-contrast CT images using dynamic programming concepts to detect and quantify aortic calcium. The localization and segmentation of the aorta are formulated as optimal path detection problems, which are solved using dynamic programming principles. We apply these methods on Hough space for aorta localization and a transformed polar coordinate space for aorta segmentation. We evaluate the proposed approach by comparing it with the manual annotations in terms of aorta location, boundary distance, and volume overlap.

Original language	English (US)
Title of host publication	2008 5th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, Proceedings, ISBI
Pages	29-32
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2008.4540924
State	Published - 2008
Event	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI - Paris, France Duration: May 14 2008 → May 17 2008

Publication series

Name	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Conference

Conference	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI
Country/Territory	France
City	Paris
Period	5/14/08 → 5/17/08

Keywords

Aorta
CT
Segmentation

ASJC Scopus subject areas

Biomedical Engineering

Access to Document

10.1109/ISBI.2008.4540924

Cite this

Kurkure, U., Avila-Montes, O. C., & Kakadiaris, I. A. (2008). Automated segmentation of thoracic aorta in non-contrast CT images. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI (pp. 29-32). [4540924] (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI). https://doi.org/10.1109/ISBI.2008.4540924

Automated segmentation of thoracic aorta in non-contrast CT images. / Kurkure, Uday; Avila-Montes, Olga C.; Kakadiaris, Ioannis A.

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. p. 29-32 4540924 (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kurkure, U, Avila-Montes, OC & Kakadiaris, IA 2008, Automated segmentation of thoracic aorta in non-contrast CT images. in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI., 4540924, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI, pp. 29-32, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI, Paris, France, 5/14/08. https://doi.org/10.1109/ISBI.2008.4540924

Kurkure U, Avila-Montes OC, Kakadiaris IA. Automated segmentation of thoracic aorta in non-contrast CT images. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI. 2008. p. 29-32. 4540924. (2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI). https://doi.org/10.1109/ISBI.2008.4540924

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Automated segmentation of thoracic aorta in non-contrast CT images

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Keywords

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