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

Český název

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

Anglický název

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

Typ

článek v časopise

Jazyk

en

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.

Český 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.

Anglický 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

Rok RIV

2013

Vydáno

26.01.2013

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",
  annote="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.",
  chapter="97515",
  number="2",
  volume="34",
  year="2013",
  month="january",
  pages="151--162",
  type="journal article"
}