Detail publikace

Parametric AIF in DCE-MRI of Mice

JIŘÍK, R. SOUČEK, K. DRAŽANOVÁ, E. GROSSOVÁ, L. STANDARA, M. KRATOCHVÍLA, J. MACÍČEK, O. MALÁ, A. TAXT, T. STARČUK, Z.

Originální název

Blind Mulitchannel Deconvolution for Estimation of a Parametric AIF in DCE-MRI of Mice

Český název

Parametric AIF in DCE-MRI of Mice

Anglický název

Blind Mulitchannel Deconvolution for Estimation of a Parametric AIF in DCE-MRI of Mice

Typ

abstrakt

Jazyk

en

Originální abstrakt

The main challenge in dynamic contrast-enhanced (DCE) MRI, especially when applied to mice and rats, is to use a correct arterial input function (AIF). Measuring the AIF from an artery within the slice of interest leads to partial-volume, flow and dispersion artifacts. Measuring the AIF in a slice intersecting heart which is acquired in addition to the slice of interest minimizes the partial volume effect but at the cost of the time resolution in the acquired image sequence. An alternative avoiding these problems is to use blind multichannel deconvolution where the AIF is estimated directly from the measured contrast-agent concentration curves in several tissues. Compared to clinical DCE-MRI, application of this approach to small animal imaging is limited only to a nonparametric (model-free) AIF. To improve the noise-robustness, a model-based AIF approach is introduced to multichannel blind deconvolution in small-animal DCE-MRI.

Český abstrakt

The main challenge in dynamic contrast-enhanced (DCE) MRI, especially when applied to mice and rats, is to use a correct arterial input function (AIF). Measuring the AIF from an artery within the slice of interest leads to partial-volume, flow and dispersion artifacts. Measuring the AIF in a slice intersecting heart which is acquired in addition to the slice of interest minimizes the partial volume effect but at the cost of the time resolution in the acquired image sequence. An alternative avoiding these problems is to use blind multichannel deconvolution where the AIF is estimated directly from the measured contrast-agent concentration curves in several tissues. Compared to clinical DCE-MRI, application of this approach to small animal imaging is limited only to a nonparametric (model-free) AIF. To improve the noise-robustness, a model-based AIF approach is introduced to multichannel blind deconvolution in small-animal DCE-MRI.

Anglický abstrakt

The main challenge in dynamic contrast-enhanced (DCE) MRI, especially when applied to mice and rats, is to use a correct arterial input function (AIF). Measuring the AIF from an artery within the slice of interest leads to partial-volume, flow and dispersion artifacts. Measuring the AIF in a slice intersecting heart which is acquired in addition to the slice of interest minimizes the partial volume effect but at the cost of the time resolution in the acquired image sequence. An alternative avoiding these problems is to use blind multichannel deconvolution where the AIF is estimated directly from the measured contrast-agent concentration curves in several tissues. Compared to clinical DCE-MRI, application of this approach to small animal imaging is limited only to a nonparametric (model-free) AIF. To improve the noise-robustness, a model-based AIF approach is introduced to multichannel blind deconvolution in small-animal DCE-MRI.

Klíčová slova

DCE-MRI, blind deconvoluiton, arterial input function

Vydáno

16.05.2014

Místo

Milano

Strany od

2754

Strany do

2754

Strany počet

1

BibTex


@misc{BUT109252,
  author="Radovan {Jiřík} and Karel {Souček} and Eva {Dražanová} and Lucie {Krátká} and Michal {Standara} and Jiří {Kratochvíla} and Ondřej {Macíček} and Aneta {Malá} and Torfinn {Taxt} and Zenon {Starčuk}",
  title="Blind Mulitchannel Deconvolution for Estimation of a Parametric AIF in DCE-MRI of Mice",
  annote="The main challenge in dynamic contrast-enhanced (DCE) MRI, especially when applied to mice and rats, is to use a correct arterial input function (AIF). Measuring the AIF from an artery within the slice of interest leads to partial-volume, flow and dispersion artifacts. Measuring the AIF in a slice intersecting heart which is acquired in addition to the slice of interest minimizes the partial volume effect but at the cost of the time resolution in the acquired image sequence. An alternative avoiding these problems is to use blind multichannel deconvolution where the AIF is estimated directly from the measured contrast-agent concentration curves in several tissues. Compared to clinical DCE-MRI, application of this approach to small animal imaging is limited only to a nonparametric (model-free) AIF. To improve the noise-robustness, a model-based AIF approach is introduced to multichannel blind deconvolution in small-animal DCE-MRI.",
  booktitle="Proceedings of the International Society for Magnetic Resonance in Medicine 2014",
  chapter="109252",
  howpublished="online",
  year="2014",
  month="may",
  pages="2754--2754",
  type="abstract"
}