| Automated tracing of the adventitial contour of aortoiliac and peripheral arterial walls in CT angiography (CTA) to allow calculation of non-calcified plaque burden. | |
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MedLine Citation:
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PMID: 21547519 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Aortoiliac and lower extremity arterial atherosclerotic plaque burden is a risk factor for the development of visceral and peripheral ischemic and aneurismal vascular disease. While prior research allows automated quantification of calcified plaque in these body regions using CT angiograms, no automated method exists to quantify soft plaque. We developed an automatic algorithm that defines the outer wall contour and wall thickness of vessels to quantify non-calcified plaque in CT angiograms of the chest, abdomen, pelvis, and lower extremities. The algorithm encodes the search space as a constrained graph and calculates the outer wall contour by deriving a minimum cost path through the graph, following the visible outer wall contour while minimizing path tortuosity. Our algorithm was statistically equivalent to a reference standard made by two reviewers. Absolute error was 1.9 ± 2.3% compared to the inter-observer variability of 3.9 ± 3.6%. Wall thickness in vessels with atherosclerosis was 3.4 ± 1.6 mm compared to 1.2 ± 0.4 mm in normal vessels. The algorithm shows promise as a tool for quantification of non-calcified plaque in CT angiography. When combined with previous research, our method has the potential to quantify both non-calcified and calcified plaque in all clinically significant systemic arteries, from the thoracic aorta to the arteries of the calf, over a wide range of diameters. This algorithm has the potential to enable risk stratification of patients and facilitate investigations into the relationships between asymptomatic atherosclerosis and a variety of behavioral, physiologic, pathologic, and genotypic conditions. |
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Authors:
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Bhargav Raman; Raghav Raman; Geoffrey D Rubin; Sandy Napel |
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Publication Detail:
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Type: Journal Article; Validation Studies |
Journal Detail:
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Title: Journal of digital imaging Volume: 24 ISSN: 1618-727X ISO Abbreviation: J Digit Imaging Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-11-10 Completed Date: 2012-04-03 Revised Date: 2013-03-14 |
Medline Journal Info:
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Nlm Unique ID: 9100529 Medline TA: J Digit Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 1078-86 Citation Subset: IM |
Affiliation:
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Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305-5105, USA. ramanb@stanford.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Aged, 80 and over Algorithms* Angiography / methods* Aortography / methods Arterial Occlusive Diseases / radiography* Atherosclerosis / radiography* Connective Tissue / radiography* Contrast Media / diagnostic use Female Femoral Artery / radiography Humans Iliac Artery / radiography Iopamidol / diagnostic use Male Middle Aged Peripheral Vascular Diseases / radiography* Popliteal Artery / radiography Reproducibility of Results Retrospective Studies Risk Factors Tomography, X-Ray Computed / methods* |
| Chemical | |
Reg. No./Substance:
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0/Contrast Media; 62883-00-5/Iopamidol |
| Comments/Corrections | |
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