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Description
  • Magnetic resonance is made use of in particular as a diagnostic imaging method. To be able to reliably establish a diagnosis, the doctors must have at their disposal images of selected parts of human organs that are of sucient quality, with no details missing. The detected images are frequently of very low contrast and resolution. Similar to MR signals, the images are degraded by noise, the level of which depends, among other things, on the level of the signal being detected, local proton density, voxel size, bandwidth, system design, quality of the RF coil, and the detection parameters. The introduction of wavelet transform provided an ecient tool for processing not only MR signals but also MR images. For a successful processing of images it is important to select from the many currently used types of wavelet. An inappropriate choice of the wavelet can lead to the loss of important information contained in the image or, on the contrary, Filtering can be less eficient.
  • Magnetic resonance is made use of in particular as a diagnostic imaging method. To be able to reliably establish a diagnosis, the doctors must have at their disposal images of selected parts of human organs that are of sucient quality, with no details missing. The detected images are frequently of very low contrast and resolution. Similar to MR signals, the images are degraded by noise, the level of which depends, among other things, on the level of the signal being detected, local proton density, voxel size, bandwidth, system design, quality of the RF coil, and the detection parameters. The introduction of wavelet transform provided an ecient tool for processing not only MR signals but also MR images. For a successful processing of images it is important to select from the many currently used types of wavelet. An inappropriate choice of the wavelet can lead to the loss of important information contained in the image or, on the contrary, Filtering can be less eficient. (en)
Title
  • Criteria for Wavelet Selection in MR Image Filtering
  • Criteria for Wavelet Selection in MR Image Filtering (en)
skos:prefLabel
  • Criteria for Wavelet Selection in MR Image Filtering
  • Criteria for Wavelet Selection in MR Image Filtering (en)
skos:notation
  • RIV/68081731:_____/10:00352240!RIV11-GA0-68081731
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/07/0389), P(GA102/07/1086), Z(AV0Z20650511), Z(MSM0021630513)
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
  • 252359
http://linked.open...ai/riv/idVysledku
  • RIV/68081731:_____/10:00352240
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • MR image; wavelet (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [60C9918A19A1]
http://linked.open...v/mistoKonaniAkce
  • Xi'an
http://linked.open...i/riv/mistoVydani
  • Cambridge
http://linked.open...i/riv/nazevZdroje
  • PIERS 2010 Xi'an 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
  • Gescheidtová, E.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • The Electromagnetics Academy
https://schema.org/isbn
  • 978-1-934142-12-7
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