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Three-dimensional thrombus segmentation in abdominal aortic aneurysms using graph search based on a triangular mesh
Journal article   Peer reviewed

Three-dimensional thrombus segmentation in abdominal aortic aneurysms using graph search based on a triangular mesh

Kyungmoo Lee, Ryan K Johnson, Yin Yin, Andreas Wahle, Mark E Olszewski, Thomas D Scholz and Milan Sonka
Computers in biology and medicine, Vol.40(3), pp.271-278
2010
DOI: 10.1016/j.compbiomed.2009.12.002
PMCID: PMC2834804
PMID: 20074719

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Abstract

An abdominal aortic aneurysm (AAA) is the area of a localized widening of the abdominal aorta, with a frequent presence of thrombus. Segmentation and quantitative analysis of the thrombus in AAA are of paramount importance for diagnosis, risk assessment and determination of treatment options. The proposed thrombus segmentation method utilizes the power and flexibility of the 3-D graph search approach based on a triangular mesh. The method was tested in 9 3-D MDCT angiography data sets (9 patients with AAA, 1300 image slices), and the mean unsigned errors for the luminal and thrombotic surfaces were 0.99 ± 0.18 mm and 1.90 ± 0.72 mm . To achieve these results, 9.9 ± 10.3 control points needed to be interactively entered on 2.1 ± 2.2 image slices per 3-D CTA data set.
Abdominal aortic aneurysm (AAA) Computed tomography angiography (CTA) Segmentation 3-D graph search Thrombus

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