Modeling of the contrast-enhanced perfusion test in liver based on the multi-compartment flow in porous media
E Rohan, V Lukeš, A Jonášová - Journal of mathematical biology, 2018 - Springer
The paper deals with modeling the liver perfusion intended to improve quantitative analysis
of the tissue scans provided by the contrast-enhanced computed tomography (CT). For this …
of the tissue scans provided by the contrast-enhanced computed tomography (CT). For this …
Open Four-Compartment Model in the Measurement of Liver Perfusion1
MK Kapanen, JT Halavaara, AM Häkkinen - Academic radiology, 2005 - Elsevier
RATIONALE AND OBJECTIVES: The goal was to improve informativeness in the
determination of liver perfusion with a clinically available iodinated computed tomography …
determination of liver perfusion with a clinically available iodinated computed tomography …
Hepatic tumor enhancement in computed tomography: combined models of liver perfusion and dynamic imaging
J Bézy-Wendling, M Kretowski, Y Rolland - Computers in biology and …, 2003 - Elsevier
The objective of this study is to show how computational modeling can be used to increase
our understanding of liver enhancement in dynamic computer tomography. It relies on two …
our understanding of liver enhancement in dynamic computer tomography. It relies on two …
Hepatic perfusion CT imaging analyzed by the dual-input one-compartment model
S Funabasama, Y Tsushima, S Sanada… - Nihon Hoshasen Gijutsu …, 2003 - europepmc.org
Methods Single-level dynamic computed tomography (dynamic CT) was taken at the height
of the hepatic hilum after a rapid intravenous injection using 40 ml of iodinated contrast …
of the hepatic hilum after a rapid intravenous injection using 40 ml of iodinated contrast …
Volume perfusion-CT of the liver: Insights and applications
D Spira, M Schulze, A Sauter, H Brodoefel… - European journal of …, 2012 - Elsevier
The purpose of this article is to provide an up-to-date view on the spectrum of applications of
volume perfusion-CT in the liver. Volume perfusion-CT yields important information on liver …
volume perfusion-CT in the liver. Volume perfusion-CT yields important information on liver …
Error analysis of the quantification of hepatic perfusion using a dual-input single-compartment model
S Miyazaki, Y Yamazaki, K Murase - Physics in Medicine & …, 2008 - iopscience.iop.org
We performed an error analysis of the quantification of liver perfusion from dynamic contrast-
enhanced computed tomography (DCE-CT) data using a dual-input single-compartment …
enhanced computed tomography (DCE-CT) data using a dual-input single-compartment …
[HTML][HTML] Geometrical model of lobular structure and its importance for the liver perfusion analysis
E Rohan, J Camprová Turjanicová, V Liška - Plos one, 2021 - journals.plos.org
A convenient geometrical description of the microvascular network is necessary for
computationally efficient mathematical modelling of liver perfusion, metabolic and other …
computationally efficient mathematical modelling of liver perfusion, metabolic and other …
Numerical simulation of liver perfusion: from CT scans to FE model
We use a collection of Python programs for numerical simulation of liver perfusion. We have
an application for semi-automatic generation of a finite element mesh of the human liver …
an application for semi-automatic generation of a finite element mesh of the human liver …
A 3D porous media liver lobule model: the importance of vascular septa and anisotropic permeability for homogeneous perfusion
The hepatic blood circulation is complex, particularly at the microcirculatory level.
Previously, 2D liver lobule models using porous media and a 3D model using real …
Previously, 2D liver lobule models using porous media and a 3D model using real …
Parameter estimation of perfusion models in dynamic contrast-enhanced imaging: a unified framework for model comparison
B Romain, L Rouet, D Ohayon, O Lucidarme… - Medical image …, 2017 - Elsevier
Patients follow-up in oncology is generally performed through the acquisition of dynamic
sequences of contrast-enhanced images. Estimating parameters of appropriate models of …
sequences of contrast-enhanced images. Estimating parameters of appropriate models of …