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  • Sufficiently meaningful picture of tissue structure can be obtained by the correct processing of the image data. This can be done by using image analysis, which takes place in several steps: acquisition of data, image adjustment, segmentation, and image description. At first, digital images are obtained, in our case these are the images of soft tissue obtained with using magnetic resonance tomograph (MR). This device is mainly used to display human tissue in medicine. MR is one of the non-destructive methods, does not cause harmful radiation, whose main advantage is the high contrast in the imaging of soft tissues. The contrast of the resulting images can be changed by setting of the pulse sequence (Spin Echo and Inversion Recovery) timing parameters used to measure the monitored tissue. The data acquired by tomograph is necessary reconstruct by using Fourier Transform reconstruction from K-space in to the MAT file as complex data. The next step of image analysis is image improvement, usually by suppr
  • Sufficiently meaningful picture of tissue structure can be obtained by the correct processing of the image data. This can be done by using image analysis, which takes place in several steps: acquisition of data, image adjustment, segmentation, and image description. At first, digital images are obtained, in our case these are the images of soft tissue obtained with using magnetic resonance tomograph (MR). This device is mainly used to display human tissue in medicine. MR is one of the non-destructive methods, does not cause harmful radiation, whose main advantage is the high contrast in the imaging of soft tissues. The contrast of the resulting images can be changed by setting of the pulse sequence (Spin Echo and Inversion Recovery) timing parameters used to measure the monitored tissue. The data acquired by tomograph is necessary reconstruct by using Fourier Transform reconstruction from K-space in to the MAT file as complex data. The next step of image analysis is image improvement, usually by suppr (en)
Title
  • Processing of Magnetic Images of Adipose Tissues
  • Processing of Magnetic Images of Adipose Tissues (en)
skos:prefLabel
  • Processing of Magnetic Images of Adipose Tissues
  • Processing of Magnetic Images of Adipose Tissues (en)
skos:notation
  • RIV/00216305:26220/13:PU103344!RIV14-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
  • 99962
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/13:PU103344
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • NMR, suppression of noise, image improvement, Wavelet transform (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [785A7D445D9E]
http://linked.open...v/mistoKonaniAkce
  • Taipei
http://linked.open...i/riv/mistoVydani
  • Taipei
http://linked.open...i/riv/nazevZdroje
  • PIERS PROCEEDINGS Progress In Electromagnetics Research Symposium
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
  • Gescheidtová, Eva
  • Mikulka, Jan
  • Pokludová, Michaela
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • The Electromagnetic Academy, USA
https://schema.org/isbn
  • 978-1-934142-24-0
http://localhost/t...ganizacniJednotka
  • 26220
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