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

0466408 - ÚPT 2017 RIV DE eng C - Konferenční příspěvek (zahraniční konf.)
Kratochvíla, Jiří - Jiřík, Radovan - Starčuk jr., Zenon - Bartoš, Michal - Standara, M. - Taxt, T.
Using multichannel blind AIF estimation with the DCATH model to allow increased temporal sampling interval in DCE-MRI.
Magma. Vol. 29 S1. Berlin: Springer, 2016, S288-S289. E-ISSN 1352-8661.
[ESMRMB 2016 Congress. Vienna (AT), 29.09.2016-01.10.2016]
Grant CEP: GA ČR(CZ) GA16-13830S; GA MŠMT(CZ) LO1212
Institucionální podpora: RVO:68081731 ; RVO:67985556
Klíčová slova: DCE-MRI * AIF
Kód oboru RIV: BM - Fyzika pevných látek a magnetismus; BM - Fyzika pevných látek a magnetismus (UTIA-B)
http://link.springer.com/journal/10334/29/1/suppl/page/1

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 partialvolume 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. Compared to, a more complex (higher sampling demands) model for impulse residue function (IRF), DCATH, is used.
Trvalý link: http://hdl.handle.net/11104/0264777