Publication detail

MODELLING IN PERFUSION MR IMAGING

Original Title

MODELLING IN PERFUSION MR IMAGING

Czech Title

MODELLING IN PERFUSION MR IMAGING

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.

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"
}