Publication detail

Blind Deconvolution in Dynamic Contrast-Enhanced MRI and Ultrasound

JIŘÍK, R. SOUČEK, K. MÉZL, M. BARTOŠ, M. DRAŽANOVÁ, E. DRÁFI, F. GROSSOVÁ, L. KRATOCHVÍLA, J. MACÍČEK, O. NYLUND, K. HAMPL, A. GILJA, O. TAXT, T. STARČUK, Z.

Original Title

Blind Deconvolution in Dynamic Contrast-Enhanced MRI and Ultrasound

Czech Title

Blind Deconvolution in Dynamic Contrast-Enhanced MRI and Ultrasound

English Title

Blind Deconvolution in Dynamic Contrast-Enhanced MRI and Ultrasound

Type

conference paper

Language

en

Original Abstract

This paper is focused on quantitative perfusion analysis using MRI and ultrasound. In both MRI and ultrasound, most approaches allow estimation of rate constants (Ktrans, kep for MRI) and indices (AUC, TTP) that are only related to the physiological perfusion parameters of a tissue (e.g. blood flow, vessel permeability) but do not allow their absolute quantification. Recent methods for quantification of these physiological perfusion parameters are shortly reviewed. The main problem of these methods is estimation of the arterial input function (AIF). This paper summarizes and extends the current blind-deconvolution approaches to AIF estimation. The feasibility of these methods is shown on a small preclinical study using both MRI and ultrasound.

Czech abstract

This paper is focused on quantitative perfusion analysis using MRI and ultrasound. In both MRI and ultrasound, most approaches allow estimation of rate constants (Ktrans, kep for MRI) and indices (AUC, TTP) that are only related to the physiological perfusion parameters of a tissue (e.g. blood flow, vessel permeability) but do not allow their absolute quantification. Recent methods for quantification of these physiological perfusion parameters are shortly reviewed. The main problem of these methods is estimation of the arterial input function (AIF). This paper summarizes and extends the current blind-deconvolution approaches to AIF estimation. The feasibility of these methods is shown on a small preclinical study using both MRI and ultrasound.

English abstract

This paper is focused on quantitative perfusion analysis using MRI and ultrasound. In both MRI and ultrasound, most approaches allow estimation of rate constants (Ktrans, kep for MRI) and indices (AUC, TTP) that are only related to the physiological perfusion parameters of a tissue (e.g. blood flow, vessel permeability) but do not allow their absolute quantification. Recent methods for quantification of these physiological perfusion parameters are shortly reviewed. The main problem of these methods is estimation of the arterial input function (AIF). This paper summarizes and extends the current blind-deconvolution approaches to AIF estimation. The feasibility of these methods is shown on a small preclinical study using both MRI and ultrasound.

Keywords

MRI, ultrasound, blind quantitative estimation of perfusion parameters, arterial input function

RIV year

2014

Released

29.08.2014

ISBN

978-1-4244-7929-0

Book

36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Pages from

4276

Pages to

4279

Pages count

4

BibTex


@inproceedings{BUT109264,
  author="Radovan {Jiřík} and Karel {Souček} and Martin {Mézl} and Michal {Bartoš} and Eva {Dražanová} and František {Dráfi} and Lucie {Krátká} and Jiří {Kratochvíla} and Ondřej {Macíček} and Kim {Nylund} and Aleš {Hampl} and Odd Helge {Gilja} and Torfinn {Taxt} and Zenon {Starčuk}",
  title="Blind Deconvolution in Dynamic Contrast-Enhanced MRI and Ultrasound",
  annote="This paper is focused on quantitative perfusion analysis using MRI and ultrasound. In both MRI and ultrasound, most approaches allow estimation of rate constants (Ktrans, kep for MRI) and indices (AUC, TTP) that are only related to the physiological perfusion parameters of a tissue (e.g. blood flow, vessel permeability) but do not allow their absolute quantification. Recent methods for quantification of these physiological perfusion parameters are shortly reviewed. The main problem of these methods is estimation of the arterial input function (AIF). This paper summarizes and extends the current blind-deconvolution approaches to AIF estimation. The feasibility of these methods is shown on a small preclinical study using both MRI and ultrasound.",
  booktitle="36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",
  chapter="109264",
  howpublished="online",
  year="2014",
  month="august",
  pages="4276--4279",
  type="conference paper"
}