0499809 20240103221337.420181101235959.9 4 s. P cav_un_epca*0495724ConcordISMRM2018 MRI perfusion analysis pharmacokinetic modeling spatial regularization total variation cav_un_auth*0312355 Bartoš Michal Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0108377 Šorel 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*0355652 Mangová M. CZ cav_un_auth*0298515 Rajmic P. CZ cav_un_auth*0278224 Standara M. CZ 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*0338628 GA16-13830S GA ČR CZ DCE-MRI perfusion analysis suffers from low reliability, especially when 2. generation pharmacokinetic models are used to estimate perfusion parameter maps (voxel-by-voxel estimation) in low SNR conditions. These models provide estimates of plasma flow and capillary permeability in addition to the commonly used parameters Ktrans , k(ap). This contribution presents a method for estimation of perfusion maps using the tissue homogeneity model with incorporated spatial regularization in the form of total variation. The algorithm is based on the proximal minimization methods well established in image reconstruction problems. The use of state-of-the-art minimization and image regularization techniques stabilizes the estimates of perfusion parameter maps and keeps the computational demands low. cav_un_auth*0366651 Joint Annual Meeting ISMRM-ESMRMB 2018 20180616 20180618 Paris FR FS 20000 20600 20602 2019 6 UTIA-B 10000 10200 10201 PO UTIA-B JC RVO:68081731 RVO:67985556 http://hdl.handle.net/11104/0291995 1 S 2018 SCOPUS PUBMED WOS cav_un_epca*0495724 Joint Annual Meeting ISMRM-ESMRMB 2018. Book of Absdtracts. Concord ISMRM 2018