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@proceedings{1364957, author = {Jířík, Radovan and Taxt, Torfin and Souček, Karel and Kratochvíla, Jiří and Macíček, Ondřej and Dražanová, Eva and Starčuk, Zenon}, keywords = {pharmakokinetic model cancer mouse perfusion}, language = {eng}, title = {Comparison of the ATH and 2CXM models using low- and high-molecular-weight contrast agents in DCE-MRI}, url = {http://link.springer.com/journal/10334/29/1/suppl/page/1}, year = {2016} }
TY - CONF ID - 1364957 AU - Jířík, Radovan - Taxt, Torfin - Souček, Karel - Kratochvíla, Jiří - Macíček, Ondřej - Dražanová, Eva - Starčuk, Zenon PY - 2016 TI - Comparison of the ATH and 2CXM models using low- and high-molecular-weight contrast agents in DCE-MRI KW - pharmakokinetic model cancer mouse perfusion UR - http://link.springer.com/journal/10334/29/1/suppl/page/1 N2 - In DCE-MRI, tissue contrast-agent (CA) concentration curves are modeled as a convolution of the arterial input function (AIF) and the impulse residue function (IRF). The 2CXM and ATH models [1] are the most widely used advanced IRF models that provide separate estimates of blood flow, Fb, and permeability- surface area product, PS, contrary to the commonly applied Tofts models. No consensus exists on which advanced pharmacokinetic model is better. Simulation-based and blind-deconvolution-based preclinical model comparisons are published. This contribution presents a new model-evaluation method based on high- and low-molecular weight (MW) contrast-agents administered within one examination. Some perfusion parameters are expected to be MW-independent (namely Fb and blood volume—vb), while PS should decrease with increasing MW. ER -
JÍŘÍK, Radovan, Torfin TAXT, Karel SOUČEK, Jiří KRATOCHVÍLA, Ondřej MACÍČEK, Eva DRAŽANOVÁ a Zenon STARČUK. \textit{Comparison of the ATH and 2CXM models using low- and high-molecular-weight contrast agents in DCE-MRI}. 2016.
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