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  • The introduction for MRI revolutionized bone marrow imaging because this technique provides images with excellent soft tissue contrast. To determine the properties of bone and bone marrow and their pathology, we have to know the properties of surrounding tissues. It is also important for the segmentation of individual tissues. The size and shape of tissues can often help to diagnose various pathologies. In this paper, we focused on multiparametric data collection of animals' tissues. As the source images was these weighted images chosen: PD, T1, T2, and SWI tissue parameters in terms of a multivariate. As a measured sample chicken wing was used. Several parameters (maximal value, minimal value, mean value and standard deviation) were evaluated in this sample in displayed tissues: skin, fat, muscle, bone and bone marrow. The obtained data could be used with advantage for multi-parametric analysis and for image segmentation.
  • The introduction for MRI revolutionized bone marrow imaging because this technique provides images with excellent soft tissue contrast. To determine the properties of bone and bone marrow and their pathology, we have to know the properties of surrounding tissues. It is also important for the segmentation of individual tissues. The size and shape of tissues can often help to diagnose various pathologies. In this paper, we focused on multiparametric data collection of animals' tissues. As the source images was these weighted images chosen: PD, T1, T2, and SWI tissue parameters in terms of a multivariate. As a measured sample chicken wing was used. Several parameters (maximal value, minimal value, mean value and standard deviation) were evaluated in this sample in displayed tissues: skin, fat, muscle, bone and bone marrow. The obtained data could be used with advantage for multi-parametric analysis and for image segmentation. (en)
Title
  • Multiparametric Data Collection and Data Processing of Animal Tissues in MRI Images
  • Multiparametric Data Collection and Data Processing of Animal Tissues in MRI Images (en)
skos:prefLabel
  • Multiparametric Data Collection and Data Processing of Animal Tissues in MRI Images
  • Multiparametric Data Collection and Data Processing of Animal Tissues in MRI Images (en)
skos:notation
  • RIV/00216305:26220/12:PU99420!RIV13-GA0-26220___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP102/11/0318), P(GAP102/12/1104), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 152420
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/12:PU99420
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Animal tissues, data processing, MRI, multiparametric data collection (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9E08186955F4]
http://linked.open...v/mistoKonaniAkce
  • Moscow
http://linked.open...i/riv/mistoVydani
  • Moscow
http://linked.open...i/riv/nazevZdroje
  • PIERS 2012 in Moscow Proceedings
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bartušek, Karel
  • Marcoň, Petr
  • Čáp, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-1-934142-22-6
http://localhost/t...ganizacniJednotka
  • 26220
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