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  • In this article a magnetic resonance multiparametric data collection is described. The spin echo and the gradient echo sequences for magnetic resonance measurement were used. Images obtained by a nuclear magnetic resonance tomographare proton density, longitudinal relaxation time T-1, transversal relaxation time T-2 and magnetic susceptibility weighted. As a measured sample chicken wing was used. Several parameters as a maximal value, minimal value, mean value and standard deviation were evaluated in skin, fat, muscle, bone and bone marrow tissues. Obtained data could be used for multiparametric analysis and for image segmentation.
  • In this article a magnetic resonance multiparametric data collection is described. The spin echo and the gradient echo sequences for magnetic resonance measurement were used. Images obtained by a nuclear magnetic resonance tomographare proton density, longitudinal relaxation time T-1, transversal relaxation time T-2 and magnetic susceptibility weighted. As a measured sample chicken wing was used. Several parameters as a maximal value, minimal value, mean value and standard deviation were evaluated in skin, fat, muscle, bone and bone marrow tissues. Obtained data could be used for multiparametric analysis and for image segmentation. (en)
Title
  • Multiparametric Data Collection of Animal Tissues in Magnetic Resonance Imaging
  • Multiparametric Data Collection of Animal Tissues in Magnetic Resonance Imaging (en)
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  • Multiparametric Data Collection of Animal Tissues in Magnetic Resonance Imaging
  • Multiparametric Data Collection of Animal Tissues in Magnetic Resonance Imaging (en)
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  • RIV/68081731:_____/12:00386110!RIV13-GA0-68081731
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  • I, P(GAP102/11/0318), P(GAP102/12/1104), S
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  • 152421
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  • RIV/68081731:_____/12:00386110
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  • animal tissues; magnetic resonance imaging; multiparametric data (en)
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  • [83561D1D1125]
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  • Praha
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  • Praha
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  • TSP 2012 Proceedings
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  • Bartušek, Karel
  • Marcon, P.
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  • 000308143100109
http://linked.open.../riv/zahajeniAkce
number of pages
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  • IEEE
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  • 978-1-4673-1116-8
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