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 inJournal of magnetic resonance imaging Vol. 25; no. 4; pp. 806 - 814
Main Authors Tizon, Xavier, Lin, Qingfen, Hansen, Tomas, Borgefors, Gunilla, Johansson, Lars, Ahlström, Håkan, Frimmel, Hans
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.04.2007
Subjects
Aged
Algorithms
Arteries - anatomy & histology
Atherosclerosis
Contrast Media
Contrast-enhanced magnetic resonance angiography
Fast marching
Humans
Imaging, Three-Dimensional
Magnetic Resonance Angiography - methods
Maximum intensity projection
Segmentation
TECHNOLOGY
TEKNIKVETENSKAP
User interaction
Whole Body Imaging - methods
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Abstract 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.
AbstractList 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. 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. 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%. 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.
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.
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. 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. 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%. 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.
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.PURPOSETo 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.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.MATERIALS AND METHODSMaximum 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.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%.RESULTSWe 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%.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.CONCLUSIONWe 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.
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. © 2007 Wiley-Liss, Inc.
Author Frimmel, Hans
Hansen, Tomas
Johansson, Lars
Tizon, Xavier
Lin, Qingfen
Borgefors, Gunilla
Ahlström, Håkan
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CitedBy_id crossref_primary_10_3892_etm_2016_3387
crossref_primary_10_1002_mrm_26098
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Snippet Purpose To extract a graph model corresponding to a predefined set of arterial branches from whole‐body contrast‐enhanced magnetic resonance angiography...
To extract a graph model corresponding to a predefined set of arterial branches from whole-body contrast-enhanced magnetic resonance angiography (CE-MRA) data...
To extract a graph model corresponding to a predefined set of arterial branches from whole-body contrast-enhanced magnetic resonance angiography (CE- MRA) data...
Purpose: To extract a graph model corresponding to a predefined set of arterial branches from whole-body contrast-enhanced magnetic resonance angiography...
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proquest
pubmed
crossref
wiley
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SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 806
SubjectTerms Aged
Algorithms
Arteries - anatomy & histology
Atherosclerosis
Contrast Media
Contrast-enhanced magnetic resonance angiography
Fast marching
Humans
Imaging, Three-Dimensional
Magnetic Resonance Angiography - methods
Maximum intensity projection
Segmentation
TECHNOLOGY
TEKNIKVETENSKAP
User interaction
Whole Body Imaging - methods
Title Identification of the main arterial branches by whole-body contrast-enhanced MRA in elderly subjects using limited user interaction and fast marching
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https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fjmri.20848
https://www.ncbi.nlm.nih.gov/pubmed/17348000
https://www.proquest.com/docview/19700422
https://www.proquest.com/docview/70316970
https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-49944
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-11223
Volume 25
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