About: Adaptive Filtering of Dynamic Contrast Enhanced Magnetic Resonance Images

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Dynamic contrast enhanced T1-weighted magnetic resonance imaging (DCE-MRI) is a powerful tool for cancer diagnosis, monitoring of treatment effects and evaluation of anticancer drugs. To get information about perfusion and microcirculation in a tissue, four-dimensional (3 space coordinates and time) dataset must be processed, i.e. converted to represent concentration of contrast agent and fitted with proper model. Both these steps are sensitive to noise presented in the data. Noise in the DCE-MRI is not negligible because high temporal and spatial samplings are required simultaneously. If signal to noise ratio (SNR) is too high, curve fitting of dilution curves with more sophisticated models is imprecise or not possible, hence noise suppression is important. Usual techniques for noise suppression as averaging in time or spatial domains remove high frequencies, which causes serious changes in the shapes of the dilution curves or blurring respectively. Median filtering is not useful because noise is app Dynamic contrast enhanced T1-weighted magnetic resonance imaging (DCE-MRI) is a powerful tool for cancer diagnosis, monitoring of treatment effects and evaluation of anticancer drugs. To get information about perfusion and microcirculation in a tissue, four-dimensional (3 space coordinates and time) dataset must be processed, i.e. converted to represent concentration of contrast agent and fitted with proper model. Both these steps are sensitive to noise presented in the data. Noise in the DCE-MRI is not negligible because high temporal and spatial samplings are required simultaneously. If signal to noise ratio (SNR) is too high, curve fitting of dilution curves with more sophisticated models is imprecise or not possible, hence noise suppression is important. Usual techniques for noise suppression as averaging in time or spatial domains remove high frequencies, which causes serious changes in the shapes of the dilution curves or blurring respectively. Median filtering is not useful because noise is app (en)
Title	Adaptive Filtering of Dynamic Contrast Enhanced Magnetic Resonance Images Adaptive Filtering of Dynamic Contrast Enhanced Magnetic Resonance Images (en)
skos:prefLabel	Adaptive Filtering of Dynamic Contrast Enhanced Magnetic Resonance Images Adaptive Filtering of Dynamic Contrast Enhanced Magnetic Resonance Images (en)
skos:notation	RIV/00216305:26220/11:PU91091!RIV14-GA0-26220___
http://linked.open...avai/predkladatel	Fakulta elektrotechniky a komunikačních technologií
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(GA102/09/1690), Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Bartoš, Michal
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	184586
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/11:PU91091
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	DCE-MRI, denoising, adaptive filtering (en)
http://linked.open.../riv/klicoveSlovo	adaptive filtering DCE-MRI denoising
http://linked.open...ontrolniKodProRIV	[4BD138F17C91]
http://linked.open...v/mistoKonaniAkce	Bergen
http://linked.open...i/riv/mistoVydani	Bergen
http://linked.open...i/riv/nazevZdroje	Abstract Book
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Improvement of diagnostic value in dynamic contrast enhanced imaging using MRI and ultrasonography in medicine
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Bartoš, Michal Jiřík, Radovan Keunen, Olivier Taxt, Torfinn
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2011-01-17 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Advanced Electronic Communication Systems and Technologies (ELCOM)
number of pages	1 (xsd:int)
http://purl.org/ne...btex#hasPublisher	University of Bergen
https://schema.org/isbn	978-82-993786-6-6
http://localhost/t...ganizacniJednotka	26220

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