Criteria for wavelet selection in MR image filtering

Kód výsledku v IS VaVaI

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Nalezeny alternativní kódy

RIV/68081731:_____/10:00352240

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Criteria for wavelet selection in MR image filtering

Popis výsledku v původním jazyce

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 sufficient quality, with no detailsmissing. 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 efficient tool for processing not only MR signals but also MR images. For a successful processing of images it isimportant 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 efficient. In the pa

Název v anglickém jazyce

Criteria for wavelet selection in MR image filtering

Popis výsledku anglicky

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 sufficient quality, with no detailsmissing. 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 efficient tool for processing not only MR signals but also MR images. For a successful processing of images it isimportant 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 efficient. In the pa

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

PIERS 2010 XIAN

ISBN

978-1-934142-12-7

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

The Electromagnetic Academy

Místo vydání

Xian, Čína

Místo konání akce

Xi'An, China

Datum konání akce

22. 3. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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