| Automated analysis of four-dimensional magnetic resonance images of the human aorta. | |
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MedLine Citation:
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PMID: 20146003 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The purpose of the study was to demonstrate the accuracy and clinical utility of an automated method of image analysis of 4D (3D + time) magnetic resonance (MR) imaging of the human aorta. Serial MR images of the entire thoracic aorta were acquired on 32 healthy individuals. Graph theory based segmentation was applied to the images and cross sectional area (CSA) was determined for the entire length of thoracic aorta. Mean CSA was compared between the 3 years. CSA values at the level of sinuses of Valsalva and sino-tubular junction were used to calculate average diameters for comparison to Roman-Devereux norms. A robust automated segmentation method was developed that accurately reproduced CSA measurements for the entire length of thoracic aorta in serially acquired scans with a 1% error compared to expert tracing. Calculated aortic root diameters based on CSA correlated with Roman-Devereux norms. Mean CSA for the aortic root agreed well with previously published manually derived values. Automated analysis of 4D MR images of the thoracic aorta provides accurate and reproducible results for CSA in healthy human subjects. The ability to simultaneously analyze the entire length of thoracic aorta throughout the cardiac cycle opens the door to the calculation of novel indices of aortic biophysical properties. These novel indices may lead to earlier detection of patients at risk for adverse events. |
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Authors:
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Ryan K Johnson; Senthil Premraj; Sonali S Patel; Nicholas Walker; Andreas Wahle; Milan Sonka; Thomas D Scholz |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural Date: 2010-02-10 |
Journal Detail:
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Title: The international journal of cardiovascular imaging Volume: 26 ISSN: 1875-8312 ISO Abbreviation: Int J Cardiovasc Imaging Publication Date: 2010 Jun |
Date Detail:
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Created Date: 2010-05-12 Completed Date: 2010-08-13 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100969716 Medline TA: Int J Cardiovasc Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 571-8 Citation Subset: IM |
Affiliation:
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Department of Pediatrics, Carver College of Medicine, University of Iowa, Iowa City, IA, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adult Analysis of Variance Aorta, Thoracic / anatomy & histology* Female Humans Image Processing, Computer-Assisted / methods* Imaging, Three-Dimensional / methods Magnetic Resonance Angiography / methods* Male Pattern Recognition, Automated Reproducibility of Results Time Factors |
| Grant Support | |
ID/Acronym/Agency:
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R01 HL071809/HL/NHLBI NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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