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Statements

Subject Item
n2:RIV%2F68081731%3A_____%2F10%3A00352240%21RIV11-GA0-68081731
rdf:type
n15:Vysledek skos:Concept
dcterms: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.
dcterms:title
Criteria for Wavelet Selection in MR Image Filtering Criteria for Wavelet Selection in MR Image Filtering
skos:prefLabel
Criteria for Wavelet Selection in MR Image Filtering Criteria for Wavelet Selection in MR Image Filtering
skos:notation
RIV/68081731:_____/10:00352240!RIV11-GA0-68081731
n3:aktivita
n4:P n4:Z
n3:aktivity
P(GA102/07/0389), P(GA102/07/1086), Z(AV0Z20650511), Z(MSM0021630513)
n3:dodaniDat
n6:2011
n3:domaciTvurceVysledku
n10:4095499
n3:druhVysledku
n11:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n16:predkladatel
n3:idSjednocenehoVysledku
252359
n3:idVysledku
RIV/68081731:_____/10:00352240
n3:jazykVysledku
n12:eng
n3:klicovaSlova
MR image; wavelet
n3:klicoveSlovo
n20:MR%20image n20:wavelet
n3:kontrolniKodProRIV
[60C9918A19A1]
n3:mistoKonaniAkce
Xi'an
n3:mistoVydani
Cambridge
n3:nazevZdroje
PIERS 2010 Xi'an Proceedings
n3:obor
n5:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n19:GA102%2F07%2F1086 n19:GA102%2F07%2F0389
n3:rokUplatneniVysledku
n6:2010
n3:tvurceVysledku
Bartušek, Karel Gescheidtová, E.
n3:typAkce
n17:WRD
n3:zahajeniAkce
2010-03-22+01:00
n3:zamer
n8:AV0Z20650511 n8:MSM0021630513
s:numberOfPages
4
n14:hasPublisher
The Electromagnetics Academy
n9:isbn
978-1-934142-12-7