Hybrid Estimation of the Arterial Input Function Using Blind Deconvolution and the Measured Blood Pool Signal

0499808 - ÚPT 2019 US eng A - Abstract
Jiřík, Radovan - Mendes, J. - Tian, Y. - Adluru, G. - DiBella, E.
Hybrid Estimation of the Arterial Input Function Using Blind Deconvolution and the Measured Blood Pool Signal.
Joint Annual Meeting ISMRM-ESMRMB 2018. Book of Absdtracts.. Concord: ISMRM, 2018.
[Joint Annual Meeting ISMRM-ESMRMB 2018. 16.06.2018-18.06.2018, Paris]
R&D Projects: GA ČR(CZ) GA16-13830S; GA MŠMT(CZ) LO1212
Institutional support: RVO:68081731
Keywords : perfusion analysis * pharmacokinetic modeling * arterial input function * blind deconvolution
OECD category: Medical laboratory technology (including laboratory samples analysis

In Dynamic Contrast-Enhanced (DCE) MRI, inaccurate estimation of the arterial input function (AIF) is still a major cause of the low reliability of kinetic parameter estimates. We propose a new method of AIF estimation. It
combines AIF measured from the blood-pool signal and multichannel blind deconvolution. The weights of the measured AIF are based on its analytically derived uncertainty and a model relating signal intensity and
gadolinium concentration.
The method has been evaluated on simulated myocardial perfusion data, mimicking real noise and kinetic parameter distributions. The hybrid method gave better results compared to the blood-pool or blinddeconvolution
approaches alone.
Permanent Link: http://hdl.handle.net/11104/0291994