An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation

Moti Freiman; Steven J. Esses; Leo Joskowicz; Jacob Sosna

doi:10.1109/ISBI.2010.5490085

An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation

Moti Freiman^*, Steven J. Esses, Leo Joskowicz, Jacob Sosna

^*Corresponding author for this work

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

29 Scopus citations

Abstract

We present an iterative model-constrained graph-cut algorithm for the segmentation of Abdominal Aortic Aneurysm (AAA) thrombus. Given an initial segmentation of the aortic lumen, our method automatically segments the thrombus by iteratively coupling intensity-based graph min-cut segmentation and geometric parametric model fitting. The geometric model effectively constrains the graph min-cut segmentation from "leaking" to nearby veins and organs. Experimental results on 8 AAA CTA datasets yield robust segmentations of the AAA thrombus in 2 mins computer time with a mean absolute volume difference of 8.0% and mean volumetric overlap error of 12.9%, which is comparable to the interobserver error.

Original language	English
Title of host publication	2010 7th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2010 - Proceedings
Pages	672-675
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2010.5490085
State	Published - 2010
Event	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam, Netherlands Duration: 14 Apr 2010 → 17 Apr 2010

Publication series

Name	2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Conference

Conference	7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
Country/Territory	Netherlands
City	Rotterdam
Period	14/04/10 → 17/04/10

Keywords

AbdominalAortic aneurysm thrombus
Model constrained graph min-cut
Segmentation

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10.1109/ISBI.2010.5490085

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Freiman, M., Esses, S. J., Joskowicz, L., & Sosna, J. (2010). An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings (pp. 672-675). Article 5490085 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings). https://doi.org/10.1109/ISBI.2010.5490085

Freiman, Moti ; Esses, Steven J. ; Joskowicz, Leo et al. / An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation. 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. 2010. pp. 672-675 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

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title = "An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation",

abstract = "We present an iterative model-constrained graph-cut algorithm for the segmentation of Abdominal Aortic Aneurysm (AAA) thrombus. Given an initial segmentation of the aortic lumen, our method automatically segments the thrombus by iteratively coupling intensity-based graph min-cut segmentation and geometric parametric model fitting. The geometric model effectively constrains the graph min-cut segmentation from {"}leaking{"} to nearby veins and organs. Experimental results on 8 AAA CTA datasets yield robust segmentations of the AAA thrombus in 2 mins computer time with a mean absolute volume difference of 8.0% and mean volumetric overlap error of 12.9%, which is comparable to the interobserver error.",

keywords = "AbdominalAortic aneurysm thrombus, Model constrained graph min-cut, Segmentation",

author = "Moti Freiman and Esses, {Steven J.} and Leo Joskowicz and Jacob Sosna",

year = "2010",

doi = "10.1109/ISBI.2010.5490085",

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series = "2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings",

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Freiman, M, Esses, SJ, Joskowicz, L & Sosna, J 2010, An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation. in 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings., 5490085, 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings, pp. 672-675, 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010, Rotterdam, Netherlands, 14/04/10. https://doi.org/10.1109/ISBI.2010.5490085

An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation. / Freiman, Moti; Esses, Steven J.; Joskowicz, Leo et al.
2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. 2010. p. 672-675 5490085 (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings).

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

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Freiman M, Esses SJ, Joskowicz L , Sosna J. An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings. 2010. p. 672-675. 5490085. (2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings). doi: 10.1109/ISBI.2010.5490085

An iterative model-constrained graph-cut algorithm for abdominal aortic aneurysm thrombus segmentation

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