Publication detail

Absolute ultrasound perfusion parameter quantification of a tissue-mimicking phantom using bolus tracking

MÉZL, M. JIŘÍK, R. HARABIŠ, V. KOLÁŘ, R. STANDARA, M. NYLUND, K. GILJA, O. TAXT, T.

Original Title

Absolute ultrasound perfusion parameter quantification of a tissue-mimicking phantom using bolus tracking

English Title

Absolute ultrasound perfusion parameter quantification of a tissue-mimicking phantom using bolus tracking

Type

journal article in Web of Science

Language

en

Original Abstract

This study presents three methods for absolute quantification in ultrasound perfusion analysis based on bolus tracking. The first two methods deconvolve the perfusion time sequence with a measured AIF, using a nonparametric or a parametric model of the tissue residue function, respectively. The third method is a simplified approach avoiding deconvolution by assuming a narrow AIF. A phantom with a dialyzer filter as a tissue-mimicking model was used for evaluation. Estimated mean transit times and blood volumes were compared with the theoretical values. A match with a maximum error of 12% was achieved.

English abstract

This study presents three methods for absolute quantification in ultrasound perfusion analysis based on bolus tracking. The first two methods deconvolve the perfusion time sequence with a measured AIF, using a nonparametric or a parametric model of the tissue residue function, respectively. The third method is a simplified approach avoiding deconvolution by assuming a narrow AIF. A phantom with a dialyzer filter as a tissue-mimicking model was used for evaluation. Estimated mean transit times and blood volumes were compared with the theoretical values. A match with a maximum error of 12% was achieved.

Keywords

ultrasound perfusion analysis, ultrasound contrast agent, absolute quantification, phantom model

RIV year

2015

Released

11.05.2015

Publisher

IEEE

Pages from

983

Pages to

987

Pages count

5

BibTex


@article{BUT114552,
  author="Martin {Mézl} and Radovan {Jiřík} and Vratislav {Harabiš} and Radim {Kolář} and Michal {Standara} and Kim {Nylund} and Odd Helge {Gilja} and Torfinn {Taxt}",
  title="Absolute ultrasound perfusion parameter quantification of a tissue-mimicking phantom using bolus tracking",
  annote="This study presents three methods for absolute quantification in ultrasound perfusion analysis based on bolus tracking. The first two methods deconvolve the perfusion time sequence with a measured AIF, using a nonparametric or a parametric model of the tissue residue function, respectively. The third method is a simplified approach avoiding deconvolution by assuming a narrow AIF. A phantom with a dialyzer filter as a tissue-mimicking model was used for evaluation. Estimated mean transit times and blood volumes were compared with the theoretical values. A match with a maximum error of 12% was achieved.",
  address="IEEE",
  chapter="114552",
  doi="10.1109/TUFFC.2014.006896",
  institution="IEEE",
  number="5",
  volume="62",
  year="2015",
  month="may",
  pages="983--987",
  publisher="IEEE",
  type="journal article in Web of Science"
}