Publication detail

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.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

DCE-MRI, perfusion, blind deconvolution

Authors

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

Released

1. 1. 2016

ISBN

1352-8661

Periodical

MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE

Year of study

29

Number

S1

State

United States of America

Pages from

447

Pages to

448

Pages count

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"
}