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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F10%3APR24888%21RIV11-GA0-26220___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
This software has been developed for processing of perfusion functions (contrast-agent concentration versus time for a given tissue region of interest, after its intravenous application). These input 1D signals are approximated by curves from their parametric models. Three models are implemented. 1. Lognormal distribution model, based on approximate statistical distribution of the mean transit time of a contrast-agent particle through tissue vasculature, 2. Gamma-variate model, based on compartmental modeling of an arbitrary tissue vaculature, 3. Dual pass gamma-variate function model, describing also the second pass of the contrast-agent bolus which is often visible in the signal. The output is a set of parameters describing each input perfusion function. These parameters are related to tissue type and pathological state and are used in perfusion imaging for diagnosis and therapy assessment in oncological and ischemic disseases. Next to the processing kernel, a graphical user interphase is also imple This software has been developed for processing of perfusion functions (contrast-agent concentration versus time for a given tissue region of interest, after its intravenous application). These input 1D signals are approximated by curves from their parametric models. Three models are implemented. 1. Lognormal distribution model, based on approximate statistical distribution of the mean transit time of a contrast-agent particle through tissue vasculature, 2. Gamma-variate model, based on compartmental modeling of an arbitrary tissue vaculature, 3. Dual pass gamma-variate function model, describing also the second pass of the contrast-agent bolus which is often visible in the signal. The output is a set of parameters describing each input perfusion function. These parameters are related to tissue type and pathological state and are used in perfusion imaging for diagnosis and therapy assessment in oncological and ischemic disseases. Next to the processing kernel, a graphical user interphase is also imple
dcterms:title
Perfusion Analysis Perfusion Analysis
skos:prefLabel
Perfusion Analysis Perfusion Analysis
skos:notation
RIV/00216305:26220/10:PR24888!RIV11-GA0-26220___
n3:aktivita
n4:Z n4:P
n3:aktivity
P(GA102/09/1690), Z(MSM0021630513)
n3:dodaniDat
n15:2011
n3:domaciTvurceVysledku
n8:5858666 n8:5412269 n8:2409879 n8:8655537 n8:2434873 n8:1352717 n8:4801172
n3:druhVysledku
n17:R
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
278513
n3:idVysledku
RIV/00216305:26220/10:PR24888
n3:interniIdentifikace
CitPerf
n3:jazykVysledku
n13:eng
n3:klicovaSlova
perfusion imaging, perfusion analysis, lognormal model, gamma-variate model, mean transit time
n3:klicoveSlovo
n7:mean%20transit%20time n7:perfusion%20analysis n7:perfusion%20imaging n7:lognormal%20model n7:gamma-variate%20model
n3:kontrolniKodProRIV
[F197A7B7000B]
n3:lokalizaceVysledku
www.dce-mri.cz Ústav biomedicínského inženýrství, FEKT VUT v Brně, Kolejní 4 61200 Brno (E340)
n3:obor
n9:JA
n3:pocetDomacichTvurcuVysledku
7
n3:pocetTvurcuVysledku
7
n3:projekt
n19:GA102%2F09%2F1690
n3:rokUplatneniVysledku
n15:2010
n3:technickeParametry
bez licence
n3:tvurceVysledku
Kolář, Radim Mézl, Martin Jiřík, Radovan Slávik, Vladimír Kratochvíla, Jiří Harabiš, Vratislav Bartoš, Michal
n3:vlastnik
n14:vlastnikVysledku
n3:vyuzitiJinymSubjektem
n12:N
n3:zamer
n11:MSM0021630513
n16:organizacniJednotka
26220