Publication detail

Comparison and evaluation of indicator dilution models for bolus of ultrasound contrast agents

HARABIŠ, V. KOLÁŘ, R. MÉZL, M. JIŘÍK, R.

Original Title

Comparison and evaluation of indicator dilution models for bolus of ultrasound contrast agents

Type

journal article in Web of Science

Language

English

Original Abstract

Dynamic contrast-enhanced ultrasound (DCE-US) imaging is a promising diagnostic method, which enables the evaluation of tissue perfusion via different parameters. The mean transit time and time-to-peak parameters are the main time parameters and their values depend on the model used for the approximation of the noisy perfusion curves. In this paper, we described a new comparison of different perfusion models using a tissue mimicking phantom. The following models were compared: log-normal, lagged, Erlang, Gamma and the local density random walk model. We discovered that the mean-square error is not the best criterion for model evaluation. More important is the comparison between the estimated time perfusion parameters and the physical parameters of the developed tissue mimicking phantom. Based on the statistical analysis, we can suggest that for the DCE-US perfusion analysis more models should be used, excluding the log-normal model, which gives the highest error of mean transit time value.

Keywords

Ultrasonography, Contrast agent, Perfusion analysis, Perfusion models

Authors

HARABIŠ, V.; KOLÁŘ, R.; MÉZL, M.; JIŘÍK, R.

RIV year

2013

Released

26. 1. 2013

ISBN

0967-3334

Periodical

PHYSIOLOGICAL MEASUREMENT

Year of study

34

Number

2

State

United Kingdom of Great Britain and Northern Ireland

Pages from

151

Pages to

162

Pages count

12

BibTex

@article{BUT97515,
  author="Vratislav {Harabiš} and Radim {Kolář} and Martin {Mézl} and Radovan {Jiřík}",
  title="Comparison and evaluation of indicator dilution models for bolus of ultrasound contrast agents",
  journal="PHYSIOLOGICAL MEASUREMENT",
  year="2013",
  volume="34",
  number="2",
  pages="151--162",
  issn="0967-3334"
}