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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F13%3APU103621%21RIV14-GA0-26220___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
Perfusion MRI is a popular diagnostics method for oncological diseases. There are two methods based on: T1 (DCE) or T2* (DSC) weighted acquisition. Basic DCE methods do not provide all intravascular perfusion parameters, but model mostly the contrast-agent extravasation. On the other hand, classical DSC methods provide only intravascular parameters valid in case of no extravasation. This contribution aims at combination of DSC and DCE-MRI to use their complimentary advantages in a new interleaved DCE-DSC-DCE acquisition and data processing. The use of the advanced aaTH model with Parkers AIF allows estimation of intravascular parameters also by the DCE method. In case of DSC, the effect of the contrast agent extravasation present in tumours is reduced by application of two contrast-agent boluses. Knowing the bolus peak times and doses, the contrast and post-contrast DCE sequences are connected and approximated by the aaTH model. This allows comparison of the intravascular parameters obtained with both Perfusion MRI is a popular diagnostics method for oncological diseases. There are two methods based on: T1 (DCE) or T2* (DSC) weighted acquisition. Basic DCE methods do not provide all intravascular perfusion parameters, but model mostly the contrast-agent extravasation. On the other hand, classical DSC methods provide only intravascular parameters valid in case of no extravasation. This contribution aims at combination of DSC and DCE-MRI to use their complimentary advantages in a new interleaved DCE-DSC-DCE acquisition and data processing. The use of the advanced aaTH model with Parkers AIF allows estimation of intravascular parameters also by the DCE method. In case of DSC, the effect of the contrast agent extravasation present in tumours is reduced by application of two contrast-agent boluses. Knowing the bolus peak times and doses, the contrast and post-contrast DCE sequences are connected and approximated by the aaTH model. This allows comparison of the intravascular parameters obtained with both
dcterms:title
Interleaved DCE and DSC-MRI Interleaved DCE and DSC-MRI
skos:prefLabel
Interleaved DCE and DSC-MRI Interleaved DCE and DSC-MRI
skos:notation
RIV/00216305:26220/13:PU103621!RIV14-GA0-26220___
n7:predkladatel
n19:orjk%3A26220
n3:aktivita
n9:P
n3:aktivity
P(GAP102/12/1104)
n3:dodaniDat
n13:2014
n3:domaciTvurceVysledku
n17:5146526
n3:druhVysledku
n22:D
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
80771
n3:idVysledku
RIV/00216305:26220/13:PU103621
n3:jazykVysledku
n18:sla
n3:klicovaSlova
dynamic contrast enhanced, dynamic susceptibility contrast, perfusion, tumour, glioma, human, brain
n3:klicoveSlovo
n4:brain n4:glioma n4:perfusion n4:dynamic%20contrast%20enhanced n4:dynamic%20susceptibility%20contrast n4:tumour n4:human
n3:kontrolniKodProRIV
[D94BAE3B2EB1]
n3:mistoKonaniAkce
Podbanské, Vysoké Tatry
n3:mistoVydani
Podbanské, Vysoké tatry, Slovenská republika
n3:nazevZdroje
Trendy v biomedicínskom inžinierstve / Trendy v biomedicínském inženýrství 2013
n3:obor
n12:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
8
n3:projekt
n10:GAP102%2F12%2F1104
n3:rokUplatneniVysledku
n13:2013
n3:tvurceVysledku
Bartušek, Karel Taxt, Torfinn Starčuk, Zenon Keřkovský, Miloš Jiřík, Radovan Macíček, Ondřej Šprláková, Andrea Bartoš, Michal
n3:typAkce
n21:CST
n3:zahajeniAkce
2013-07-03+02:00
s:numberOfPages
4
n15:hasPublisher
Technická univerzita v Košiciach
n16:isbn
978-80-8086-208-4
n14:organizacniJednotka
26220