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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F14%3APU111129%21RIV15-MSM-26220___
rdf:type
skos:Concept n17:Vysledek
rdfs:seeAlso
http://www.sciencedirect.com/science/article/pii/S0010482514002716
dcterms:description
This paper presents a system for correcting motion influences in time-dependent 2D contrast-enhanced ultrasound (CEUS) images to assess tissue perfusion characteristics. The system consists of a semi-automatic frame selection method to find images with out-of-plane motion as well as a method for automatic motion compensation. Translational and non-rigid motion compensation is applied by introducing a temporal continuity assumption. A study consisting of 40 clinical datasets was conducted to compare the perfusion with simulated perfusion using pharmacokinetic modeling. Overall, the proposed approach decreased the mean average difference between the measured perfusion and the pharmacokinetic model estimation. It was non-inferior for three out of four patient cohorts to a manual approach and reduced the analysis time by 41% compared to manual processing. This paper presents a system for correcting motion influences in time-dependent 2D contrast-enhanced ultrasound (CEUS) images to assess tissue perfusion characteristics. The system consists of a semi-automatic frame selection method to find images with out-of-plane motion as well as a method for automatic motion compensation. Translational and non-rigid motion compensation is applied by introducing a temporal continuity assumption. A study consisting of 40 clinical datasets was conducted to compare the perfusion with simulated perfusion using pharmacokinetic modeling. Overall, the proposed approach decreased the mean average difference between the measured perfusion and the pharmacokinetic model estimation. It was non-inferior for three out of four patient cohorts to a manual approach and reduced the analysis time by 41% compared to manual processing.
dcterms:title
Semi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis Semi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis
skos:prefLabel
Semi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis Semi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis
skos:notation
RIV/00216305:26220/14:PU111129!RIV15-MSM-26220___
n3:aktivita
n11:S
n3:aktivity
S
n3:cisloPeriodika
-
n3:dodaniDat
n18:2015
n3:domaciTvurceVysledku
n15:8655537 n15:1352717
n3:druhVysledku
n13:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
44394
n3:idVysledku
RIV/00216305:26220/14:PU111129
n3:jazykVysledku
n8:eng
n3:klicovaSlova
Ultrasonography, Motion analysis, Motion compensation, Registration, CEUS, Contrast-enhanced ultrasound, Perfusion, Perfusion modeling
n3:klicoveSlovo
n9:CEUS n9:Contrast-enhanced%20ultrasound n9:Perfusion%20modeling n9:Perfusion n9:Motion%20compensation n9:Ultrasonography n9:Registration n9:Motion%20analysis
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[07650FC0B9D3]
n3:nazevZdroje
COMPUTERS IN BIOLOGY AND MEDICINE
n3:obor
n4:JA
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
9
n3:rokUplatneniVysledku
n18:2014
n3:svazekPeriodika
-
n3:tvurceVysledku
Gilja, Odd Helge Mézl, Martin Schäfer, Sebastian Nylund, Kim Jiřík, Radovan Savik, Fredrik Dimcevski, Georg Engjom, Trond Tönnies, Klaus
s:issn
0010-4825
s:numberOfPages
9
n5:doi
10.1016/j.compbiomed.2014.09.014
n19:organizacniJednotka
26220