Blind Deconvolution in Dynamic Contrast-Enhanced MRI and Ultrasound

0434371 - ÚPT 2019 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Jiřík, Radovan - Souček, Karel - Mézl, M. - Bartoš, Michal - Dražanová, Eva - Dráfi, F. - Krátká, Lucie - Kratochvíla, J. - Macíček, O. - Nylund, K. - Hampl, A. - Gilja, O.H. - Taxt, T. - Starčuk jr., Zenon
Blind Deconvolution in Dynamic Contrast-Enhanced MRI and Ultrasound.
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. Proceedings. Piscataway: IEEE, 2014, s. 4276-4279. ISBN 978-1-4244-7929-0.
[[Annual International Conference of the IEEE Engineering in Medicine and Biology Society /36./ (EMBC). Chicago (US), 26.08.2014-30.08.2014]
Grant CEP: GA MŠMT(CZ) LO1212; GA MŠMT ED0017/01/01
Institucionální podpora: RVO:68081731 ; RVO:68081707 ; RVO:67985556
Klíčová slova: blind deconvolution * MRI * ultrasound
Obor OECD: Medical engineering; Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) (UTIA-B); Biophysics (BFU-R)

This paper is focused on quantitative perfusion analysis using MRI and ultrasound. In both MRI and ultrasound, most approaches allow estimation of rate constants (Ktrans, kep for MRI) and indices (AUC, TTP) that are only related to the physiological perfusion parameters of a tissue (e.g. blood flow, vessel permeability) but do not allow their absolute quantification. Recent methods for quantification of these physiological perfusion parameters are shortly reviewed. The main problem of these methods is estimation of the arterial input function (AIF). This paper summarizes and extends the current blind-deconvolution approaches to AIF estimation. The feasibility of these methods is shown on a small preclinical study using both MRI and ultrasound.
Trvalý link: http://hdl.handle.net/11104/0238552