Identification of the main arterial branches by whole-body contrast-enhanced MRA in elderly subjects using limited user interaction and fast marching
Purpose To extract a graph model corresponding to a predefined set of arterial branches from whole‐body contrast‐enhanced magnetic resonance angiography (CE‐MRA) data sets in elderly asymptomatic subjects, a high‐incidence group. Materials and Methods Maximum intensity projections (MIPs) were used a...
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Published in | Journal of magnetic resonance imaging Vol. 25; no. 4; pp. 806 - 814 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken
Wiley Subscription Services, Inc., A Wiley Company
01.04.2007
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Subjects | |
Online Access | Get full text |
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Summary: | Purpose
To extract a graph model corresponding to a predefined set of arterial branches from whole‐body contrast‐enhanced magnetic resonance angiography (CE‐MRA) data sets in elderly asymptomatic subjects, a high‐incidence group.
Materials and Methods
Maximum intensity projections (MIPs) were used as an interface to place landmarks in the three‐dimensional (3D) data sets. These landmarks were linked together using fast marching to form a graph model of the arterial tree. Only vessels of interest were identified.
Results
We tested our method on 10 subjects. We were able to build a graph model of the main arterial branches that performed well in the presence of vascular pathologies, such as stenosis and aneurysm. The results were rated by an experienced radiologist, with an overall success rate of 80%.
Conclusion
We were able to extract chosen arterial branches in 3D whole‐body CE‐MRA images with a moderate amount of interaction using a single MIP projection. J. Magn. Reson. Imaging 2007. © 2007 Wiley‐Liss, Inc. |
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Bibliography: | Swedish Foundation for Strategic Research Swedish Research Council - No. K2006-71x-06676-24-3 ArticleID:JMRI20848 ark:/67375/WNG-LPMCCH87-S istex:74C483047267C281C844664AAD3B50B4FFC1FE10 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Article-2 ObjectType-Undefined-1 ObjectType-Feature-3 |
ISSN: | 1053-1807 1522-2586 1522-2586 |
DOI: | 10.1002/jmri.20848 |