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Description
| - Image processing in biomedical applications is strongly developing issue. Many methods and approaches for image preprocessing, segmentation and visualization were described. This paper deals with image evaluation obtained by magnetic resonance tomography. Soft tissues can be observed in these images and their characteristics can be used to further processing and to diagnose diseases. Intensity distribution (mean, maximum, minimum, standard deviation and area) in regions of human head tissues are evaluated and compared for two healthy persons. The obtained values will be compared with the same parameters of unhealthy persons in studying jawbone diseases. The aim of this research is to Żnd relations between tissue parameters which can be observed by often available magnetic resonance measuring sequences (T1/T2 weighted images, diffusion weighted images). The relations and similarity of some tissues and regions in mentioned images could help to increase yield of data obtained by magnetic resonance tomog
- Image processing in biomedical applications is strongly developing issue. Many methods and approaches for image preprocessing, segmentation and visualization were described. This paper deals with image evaluation obtained by magnetic resonance tomography. Soft tissues can be observed in these images and their characteristics can be used to further processing and to diagnose diseases. Intensity distribution (mean, maximum, minimum, standard deviation and area) in regions of human head tissues are evaluated and compared for two healthy persons. The obtained values will be compared with the same parameters of unhealthy persons in studying jawbone diseases. The aim of this research is to Żnd relations between tissue parameters which can be observed by often available magnetic resonance measuring sequences (T1/T2 weighted images, diffusion weighted images). The relations and similarity of some tissues and regions in mentioned images could help to increase yield of data obtained by magnetic resonance tomog (en)
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Title
| - Evaluation of Tissue Properties in MR Images
- Evaluation of Tissue Properties in MR Images (en)
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skos:prefLabel
| - Evaluation of Tissue Properties in MR Images
- Evaluation of Tissue Properties in MR Images (en)
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skos:notation
| - RIV/00216305:26220/12:PU99414!RIV13-GA0-26220___
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http://linked.open...avai/predkladatel
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(GAP102/11/0318), P(GAP102/12/1104), S
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26220/12:PU99414
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - magnetic resonance, tissue classification (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - PIERS 2012 in Moscow Proceedings
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Bartušek, Karel
- Gescheidtová, Eva
- Marcoň, Petr
- Mikulka, Jan
- Šprláková, Andrea
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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is http://linked.open...avai/riv/vysledek
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