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Hybrid Estimation of the Arterial Input Function Using Blind Deconvolution and the Measured Blood Pool Signal
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SYSNO ASEP 0499808 Document Type A - Abstract R&D Document Type The record was not marked in the RIV R&D Document Type Není vybrán druh dokumentu Title Hybrid Estimation of the Arterial Input Function Using Blind Deconvolution and the Measured Blood Pool Signal Author(s) Jiřík, Radovan (UPT-D) RID, ORCID, SAI
Mendes, J. (US)
Tian, Y. (US)
Adluru, G. (US)
DiBella, E. (US)Number of authors 5 Source Title Joint Annual Meeting ISMRM-ESMRMB 2018. Book of Absdtracts.. - Concord : ISMRM, 2018 Number of pages 5 s. Publication form Print - P Action Joint Annual Meeting ISMRM-ESMRMB 2018 Event date 16.06.2018 - 18.06.2018 VEvent location Paris Country FR - France Event type WRD Language eng - English Country US - United States Keywords perfusion analysis ; pharmacokinetic modeling ; arterial input function ; blind deconvolution Subject RIV FS - Medical Facilities ; Equipment OECD category Medical laboratory technology (including laboratory samples analysis R&D Projects GA16-13830S GA ČR - Czech Science Foundation (CSF) LO1212 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Institutional support UPT-D - RVO:68081731 Annotation 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.Workplace Institute of Scientific Instruments Contact Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Year of Publishing 2019
Number of the records: 1