Detail publikace

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

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

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Ultrasonography, Contrast agent, Perfusion analysis, Perfusion models

Autoři

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

Rok RIV

2013

Vydáno

26. 1. 2013

ISSN

0967-3334

Periodikum

PHYSIOLOGICAL MEASUREMENT

Ročník

34

Číslo

2

Stát

Spojené království Velké Británie a Severního Irska

Strany od

151

Strany do

162

Strany počet

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"
}