Three-dimensional thrombus segmentation in abdominal aortic aneurysms using graph search based on a triangular mesh.
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.
Lee
Kyungmoo
K
Department of Electrical & Computer Engineering, University of Iowa, Iowa City, IA, USA. kyungmle@engineering.uiowa.edu
Johnson
Ryan K
RK
Yin
Yin
Y
Wahle
Andreas
A
Olszewski
Mark E
ME
Scholz
Thomas D
TD
Sonka
Milan
M
D000792:Angiography; D017544:Aortic Aneurysm, Abdominal / Q000000981:diagnostic imaging / Q000473:pathology* / Q000628:therapy; D006801:Humans; D013927:Thrombosis / Q000473:pathology*; D014057:Tomography, X-Ray Computed