0431811 20240103204633.020150212235959.9 000335422800015 84899052979 10.1016/j.mri.2014.02.003 9 s. P cav_un_epca*02542200730-725X325 (2014)505-513Elsevier dynamic contrast-enhanced MRI (DCE-MRI) perfusion parameter estimation bolus arrival time cav_un_auth*0312355 Bartoš Michal Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0277120 Jiřík Radovan D3: Magnetická rezonance a Kryogenika D3: Magnetic Resonance and Cryogenics UPT-D Magnetic Resonance and Cryogenics Ústav přístrojové techniky AV ČR, v. v. i. cav_un_auth*0306308 Kratochvíla Jiří D3: Magnetická rezonance a Kryogenika D3: Magnetic Resonance and Cryogenics UPT-D Magnetic Resonance and Cryogenics Ústav přístrojové techniky AV ČR, v. v. i. cav_un_auth*0278224 Standara M. CZ cav_un_auth*0101622 Starčuk jr. Zenon D3: Magnetická rezonance a Kryogenika D3: Magnetic Resonance and Cryogenics UPT-D Magnetic Resonance and Cryogenics Ústav přístrojové techniky AV ČR, v. v. i. cav_un_auth*0306309 Torfinn T. NO GAP102/12/2380 GA ČR cav_un_auth*0285036 ED0017/01/01 GA MŠk cav_un_auth*0266369 LO1212 GA MŠk CZ cav_un_auth*0303710 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 parameters can be described by the covariance matrix for signal-to-noise ratio higher than similar to 20 dB. The application of the new analysis model on a real DCE-MRI data set is also presented. 2015 FS 6 4 A 4a 20231122140431.2 RVO:67985556 RVO:68081731 http://hdl.handle.net/11104/0236363 S RADIOLOGYNUCLEARMEDICINEMEDICALIMAGING 0.795 1.031 Q1 51.924 61.200 Q2 Q2 2014 Soubory v repozitáři: 0431811.pdf 84899052979 SCOPUS 000335422800015 WOS cav_un_epca*0254220 Magnetic Resonance Imaging 0730-725X 1873-5894 Roč. 32 č. 5 2014 505 513 Elsevier