Detail publikace

Using multichannel blind AIF estimation with the DCATH model to allow increased temporal sampling interval in DCE-MRI

Originální název

Using multichannel blind AIF estimation with the DCATH model to allow increased temporal sampling interval in DCE-MRI

Anglický název

Using multichannel blind AIF estimation with the DCATH model to allow increased temporal sampling interval in DCE-MRI

Jazyk

en

Originální abstrakt

Dynamic contrast-enhanced (DCE) MRI is used for estimation of tissue perfusion parameters, mainly in oncology. Quantitative DCE-MRI analysis requires knowledge of the arterial input function (AIF). It can be measured from a feeding artery, eventually averaged over a population. This leads to partial-volume and flow artifacts, ignored dispersion terms and variability among patients. Multichannel blind deconvolution is an alternative approach avoiding these problems. The AIF is estimated from several tissue tracer concentration curves. Here, blind deconvolution with a parametric AIF model is used to allow lower temporal resolution in DCE-MRI acquisition, while maintaining the accuracy of perfusion analysis. Model for impulse residue function (IRF), DCATH, is used.

Anglický abstrakt

Dynamic contrast-enhanced (DCE) MRI is used for estimation of tissue perfusion parameters, mainly in oncology. Quantitative DCE-MRI analysis requires knowledge of the arterial input function (AIF). It can be measured from a feeding artery, eventually averaged over a population. This leads to partial-volume and flow artifacts, ignored dispersion terms and variability among patients. Multichannel blind deconvolution is an alternative approach avoiding these problems. The AIF is estimated from several tissue tracer concentration curves. Here, blind deconvolution with a parametric AIF model is used to allow lower temporal resolution in DCE-MRI acquisition, while maintaining the accuracy of perfusion analysis. Model for impulse residue function (IRF), DCATH, is used.

BibTex


@inproceedings{BUT142740,
  author="Jiří {Kratochvíla} and Radovan {Jiřík} and Zenon {Starčuk} and Michal {Bartoš} and Michal {Standara} and Torfinn {Taxt}",
  title="Using multichannel blind AIF estimation with the DCATH model to allow increased temporal sampling interval in DCE-MRI",
  annote="Dynamic contrast-enhanced (DCE) MRI is used for estimation of tissue perfusion parameters, mainly in oncology. Quantitative DCE-MRI analysis requires knowledge of the arterial input function (AIF).
It can be measured from a feeding artery, eventually averaged over a population. This leads to partial-volume and flow artifacts, ignored dispersion terms and variability among patients. Multichannel
blind deconvolution is an alternative approach avoiding these problems. The AIF is estimated from several tissue tracer concentration curves.
Here, blind deconvolution with a parametric AIF model is used to allow lower temporal resolution in DCE-MRI acquisition, while maintaining the accuracy of perfusion analysis. Model for impulse residue function (IRF), DCATH, is used.",
  address="Magn Reson Mater Phy",
  booktitle="Magma",
  chapter="142740",
  doi="10.1007/s10334-016-0570-3",
  edition="29",
  howpublished="online",
  institution="Magn Reson Mater Phy",
  number="S1",
  year="2016",
  month="january",
  pages="288--289",
  publisher="Magn Reson Mater Phy",
  type="conference paper"
}