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  • The present trend in dynamic contrast-Enhanced MRI is to increase the number of estimated perfusion parameters using complex pharmacokinetic models. However, less attention is given to the precision analysis of the parameter estimates. In this paper, the distributed capillary adiabatic tissue homogeneity pharmacokinetic model is extended by the bolus arrival time formulated as a free continuous parameter. With the continuous formulation of all perfusion parameters, it is possible to use standard gradient-based optimization algorithms in the approximation of the tissue concentration time sequences. This new six-parameter model is investigated by comparing Monte-Carlo simulations with theoretically derived covariance matrices. The covariance-matrix approach is extended from the usual analysis of the primary perfusion parameters of the pharmacokinetic model to the analysis of the perfusion parameters derived from the primary ones. The results indicate that the precision of the estimated perfusion paramet
  • The present trend in dynamic contrast-Enhanced MRI is to increase the number of estimated perfusion parameters using complex pharmacokinetic models. However, less attention is given to the precision analysis of the parameter estimates. In this paper, the distributed capillary adiabatic tissue homogeneity pharmacokinetic model is extended by the bolus arrival time formulated as a free continuous parameter. With the continuous formulation of all perfusion parameters, it is possible to use standard gradient-based optimization algorithms in the approximation of the tissue concentration time sequences. This new six-parameter model is investigated by comparing Monte-Carlo simulations with theoretically derived covariance matrices. The covariance-matrix approach is extended from the usual analysis of the primary perfusion parameters of the pharmacokinetic model to the analysis of the perfusion parameters derived from the primary ones. The results indicate that the precision of the estimated perfusion paramet (en)
Title
  • The Precision of DCE-MRI Using the Tissue Homogeneity Model with Continuous Formulation of the Perfusion Parameters
  • The Precision of DCE-MRI Using the Tissue Homogeneity Model with Continuous Formulation of the Perfusion Parameters (en)
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  • The Precision of DCE-MRI Using the Tissue Homogeneity Model with Continuous Formulation of the Perfusion Parameters
  • The Precision of DCE-MRI Using the Tissue Homogeneity Model with Continuous Formulation of the Perfusion Parameters (en)
skos:notation
  • RIV/00216305:26220/14:PU107765!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(ED0017/01/01), P(GAP102/12/2380), P(LO1212), S
http://linked.open...iv/cisloPeriodika
  • 5
http://linked.open...vai/riv/dodaniDat
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  • 38697
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/14:PU107765
http://linked.open...riv/jazykVysledku
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  • Dynamic contrast-enhanced MRI (DCE-MRI), perfusion, parameter estimation, bolus arrival time (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
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  • [9A7295D3DC2C]
http://linked.open...i/riv/nazevZdroje
  • MAGNETIC RESONANCE IMAGING
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http://linked.open...v/svazekPeriodika
  • 32
http://linked.open...iv/tvurceVysledku
  • Bartoš, Michal
  • Jiřík, Radovan
  • Taxt, Torfinn
  • Kratochvíla, Jiří
  • Standara, Michal
  • Starčuk, Zenon
http://linked.open...ain/vavai/riv/wos
  • 000335422800015
issn
  • 0730-725X
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.mri.2014.02.003
http://localhost/t...ganizacniJednotka
  • 26220
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