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    Study of MRI Susceptibility Artifacts for Nanomedical Applications

    Source: Journal of Nanotechnology in Engineering and Medicine:;2010:;volume( 001 ):;issue: 004::page 41002
    Author:
    Tim Wortmann
    ,
    Christian Dahmen
    ,
    Sergej Fatikow
    DOI: 10.1115/1.4002501
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This article deals with the exploitation of magnetic susceptibility artifacts in magnetic resonance imaging (MRI) for the recognition of metallic delivery capsules. The targeted application is a closed-loop position control of magnetic objects implemented using the components of a clinical MRI scanner. Actuation can be performed by switching the magnetic gradient fields, whereas object locations are detected by an analysis of the MRI scans. A comprehensive investigation of susceptibility artifacts with a total number of 108 experimental setups has been performed in order to study scaling laws and the impact of object properties and imaging parameters. In addition to solid metal objects, a suspension of superparamagnetic nanoparticles has been examined. All 3D scans have been segmented automatically for artifact quantification and location determination. Analysis showed a characteristic shape for all three base types of sequences, which is invariant to the magnetic object shape and material. Imaging parameters such as echo time and flip angle have a moderate impact on the artifact volume but do not modify the characteristic artifact shape. The nanoparticle agglomerates produce imaging artifacts similar to the solid samples. Based on the results, a two-stage recognition/tracking procedure is proposed.
    keyword(s): Echoes , Magnetic resonance imaging , Gradients , Imaging , Shapes , Nanomedicine , Superparamagnetism , Nanoparticles AND Signals ,
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      Study of MRI Susceptibility Artifacts for Nanomedical Applications

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    http://yetl.yabesh.ir/yetl1/handle/yetl/144506
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    contributor authorTim Wortmann
    contributor authorChristian Dahmen
    contributor authorSergej Fatikow
    date accessioned2017-05-09T00:40:11Z
    date available2017-05-09T00:40:11Z
    date copyrightNovember, 2010
    date issued2010
    identifier issn1949-2944
    identifier otherJNEMAA-28046#041002_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/144506
    description abstractThis article deals with the exploitation of magnetic susceptibility artifacts in magnetic resonance imaging (MRI) for the recognition of metallic delivery capsules. The targeted application is a closed-loop position control of magnetic objects implemented using the components of a clinical MRI scanner. Actuation can be performed by switching the magnetic gradient fields, whereas object locations are detected by an analysis of the MRI scans. A comprehensive investigation of susceptibility artifacts with a total number of 108 experimental setups has been performed in order to study scaling laws and the impact of object properties and imaging parameters. In addition to solid metal objects, a suspension of superparamagnetic nanoparticles has been examined. All 3D scans have been segmented automatically for artifact quantification and location determination. Analysis showed a characteristic shape for all three base types of sequences, which is invariant to the magnetic object shape and material. Imaging parameters such as echo time and flip angle have a moderate impact on the artifact volume but do not modify the characteristic artifact shape. The nanoparticle agglomerates produce imaging artifacts similar to the solid samples. Based on the results, a two-stage recognition/tracking procedure is proposed.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleStudy of MRI Susceptibility Artifacts for Nanomedical Applications
    typeJournal Paper
    journal volume1
    journal issue4
    journal titleJournal of Nanotechnology in Engineering and Medicine
    identifier doi10.1115/1.4002501
    journal fristpage41002
    identifier eissn1949-2952
    keywordsEchoes
    keywordsMagnetic resonance imaging
    keywordsGradients
    keywordsImaging
    keywordsShapes
    keywordsNanomedicine
    keywordsSuperparamagnetism
    keywordsNanoparticles AND Signals
    treeJournal of Nanotechnology in Engineering and Medicine:;2010:;volume( 001 ):;issue: 004
    contenttypeFulltext
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