Detail publikace

Comparison of the ATH and 2CXM models using low- and high-molecular-weight contrast agents in DCE-MRI

JIŘÍK, R. TAXT, T. SOUČEK, K. KRATOCHVÍLA, J. MACÍČEK, O. DRAŽANOVÁ, E. STARČUK, Z.

Originální název

Comparison of the ATH and 2CXM models using low- and high-molecular-weight contrast agents in DCE-MRI

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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 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.

Klíčová slova

DCE-MRI, perfusion, blind deconvolution

Autoři

JIŘÍK, R.; TAXT, T.; SOUČEK, K.; KRATOCHVÍLA, J.; MACÍČEK, O.; DRAŽANOVÁ, E.; STARČUK, Z.

Vydáno

1. 1. 2016

ISSN

1352-8661

Periodikum

MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Ročník

29

Číslo

S1

Stát

Spojené státy americké

Strany od

447

Strany do

448

Strany počet

2

BibTex

@inproceedings{BUT142781,
  author="JIŘÍK, R. and TAXT, T. and SOUČEK, K. and KRATOCHVÍLA, J. and MACÍČEK, O. and DRAŽANOVÁ, E. and STARČUK, Z.",
  title="Comparison of the ATH and 2CXM models using low- and high-molecular-weight contrast agents in DCE-MRI",
  booktitle="MAGMA",
  year="2016",
  journal="MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE",
  volume="29",
  number="S1",
  pages="447--448",
  doi="10.1007/s10334-016-0571-2",
  issn="1352-8661"
}