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  • This paper describes an experimental evaluation of the statistical properties of microbubbles by the means of Nakagami probability distribution. The first and second harmonic images are used for statistical analysis of backscattered signals from saline with different concentration of microbubbles (SonoVue). There were no differences between the shape parameters m from Nakagami distribution obtained from the first and second harmonic images, which was confirmed by t-test (p<0.001). The results also show the scattering conditions for each concentration described by the values of this shape parameter.
  • This paper describes an experimental evaluation of the statistical properties of microbubbles by the means of Nakagami probability distribution. The first and second harmonic images are used for statistical analysis of backscattered signals from saline with different concentration of microbubbles (SonoVue). There were no differences between the shape parameters m from Nakagami distribution obtained from the first and second harmonic images, which was confirmed by t-test (p<0.001). The results also show the scattering conditions for each concentration described by the values of this shape parameter. (en)
Title
  • Nakagami model of scattering in ultrasound contrast media
  • Nakagami model of scattering in ultrasound contrast media (en)
skos:prefLabel
  • Nakagami model of scattering in ultrasound contrast media
  • Nakagami model of scattering in ultrasound contrast media (en)
skos:notation
  • RIV/68081731:_____/12:00423310!RIV14-GA0-68081731
http://linked.open...avai/riv/aktivita
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  • I, P(GAP102/12/2380)
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  • 152832
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  • RIV/68081731:_____/12:00423310
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  • microbubbles; ultrasound scattering; Nakagami distribution; harmonic imaging; parameter estimation; perfusion imaging (en)
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http://linked.open...ontrolniKodProRIV
  • [16437BB514DC]
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  • Dresden
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  • New York
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  • 2012 IEEE International Ultrasonic Symposium
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  • Jiřík, Radovan
  • Harabiš, V.
  • Kolář, R.
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  • 000326960200092
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number of pages
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  • 10.1109/ULTSYM.2012.0101
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  • IEEE
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  • 978-1-4673-4561-3
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