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; Milan Sonka

doi:10.1016/j.compbiomed.2009.12.002

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

Journal article

Open access

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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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https://www.ncbi.nlm.nih.gov/pmc/articles/2834804View

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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

Details

Title: Subtitle: Three-dimensional thrombus segmentation in abdominal aortic aneurysms using graph search based on a triangular mesh
Creators: Kyungmoo Lee - Department of Electrical & Computer Engineering, University of Iowa, Iowa City, IA, USA
Ryan K Johnson - Division of Pediatric Cardiology, University of Iowa Hospitals & Clinics, Iowa City, IA, USA
Yin Yin - Department of Electrical & Computer Engineering, University of Iowa, Iowa City, IA, USA
Andreas Wahle - Department of Electrical & Computer Engineering, University of Iowa, Iowa City, IA, USA
Mark E Olszewski - CT Clinical Science, Philips Healthcare, Cleveland, OH, USA
Thomas D Scholz - Division of Pediatric Cardiology, University of Iowa Hospitals & Clinics, Iowa City, IA, USA
Milan Sonka - Department of Electrical & Computer Engineering, University of Iowa, Iowa City, IA, USA
Resource Type: Journal article
Publication Details: Computers in biology and medicine, Vol.40(3), pp.271-278
DOI: 10.1016/j.compbiomed.2009.12.002
PMID: 20074719
PMCID: PMC2834804
NLM abbreviation: Comput Biol Med
ISSN: 0010-4825
eISSN: 1879-0534
Publisher: Elsevier Ltd
Language: English
Date published: 2010
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Cardiology; Stead Family Department of Pediatrics; Radiation Oncology; Injury Prevention Research Center; Child and Community Health; Ophthalmology and Visual Sciences
Record Identifier: 9984047634802771

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