Publication detail

MODELLING IN PERFUSION MR IMAGING

VÁLKOVÁ, H. KRATOCHVÍLA, J.

Original Title

MODELLING IN PERFUSION MR IMAGING

Czech Title

MODELLING IN PERFUSION MR IMAGING

English Title

MODELLING IN PERFUSION MR IMAGING

Type

conference paper

Language

cs

Original Abstract

This paper deals with quantitative perfusion analysis of dynamic contrast enhanced magnetic resonance data. The perfusion parameter estimation method is based on approximation of tissue concentration time sequences with convolution models. The method is evaluated on synthetic data and illustrated on clinical data of the renal cell carcinoma patient. The main contribution of the article is the inclusion of dispersion model to capture the signal changes on the way from artery to remote tissues.

Czech abstract

This paper deals with quantitative perfusion analysis of dynamic contrast enhanced magnetic resonance data. The perfusion parameter estimation method is based on approximation of tissue concentration time sequences with convolution models. The method is evaluated on synthetic data and illustrated on clinical data of the renal cell carcinoma patient. The main contribution of the article is the inclusion of dispersion model to capture the signal changes on the way from artery to remote tissues.

English abstract

This paper deals with quantitative perfusion analysis of dynamic contrast enhanced magnetic resonance data. The perfusion parameter estimation method is based on approximation of tissue concentration time sequences with convolution models. The method is evaluated on synthetic data and illustrated on clinical data of the renal cell carcinoma patient. The main contribution of the article is the inclusion of dispersion model to capture the signal changes on the way from artery to remote tissues.

Keywords

Perfusion imaging, DCE-MRI, arterial input function, tissue residual function, dispersion of arterial input function, curve modelling

RIV year

2014

Released

24.04.2014

ISBN

978-80-214-4923-7

Book

Proceedings of the 20th Conference Student EEICT 2014

Pages from

57

Pages to

59

Pages count

3

BibTex


@inproceedings{BUT108486,
  author="Hana {Válková} and Jiří {Kratochvíla}",
  title="MODELLING IN PERFUSION MR IMAGING",
  annote="This paper deals with quantitative perfusion analysis of dynamic contrast enhanced magnetic resonance data. The perfusion parameter estimation method is based on approximation of tissue concentration time sequences with convolution models. The method is evaluated on synthetic data and illustrated on clinical data of the renal cell carcinoma patient. The main contribution of the article is the inclusion of dispersion model to capture the signal changes on the way from artery to remote tissues.",
  booktitle="Proceedings of the 20th Conference Student EEICT 2014",
  chapter="108486",
  howpublished="print",
  year="2014",
  month="april",
  pages="57--59",
  type="conference paper"
}