Blind Deconvolution in Dynamic Contrast-Enhanced MRI and Ultrasound

• Authors: JIŘÍK Radovan; SOUČEK Karel; MÉZL Martin; BARTOŠ Michal; DRAŽANOVÁ Eva; DRÁFI František; GROSSOVÁ Lucie; KRATOCHVÍLA Jiří; MACÍČEK Ondřej; NYLUND Kim; HAMPL Aleš; GILJA Odd Helge; TAXT Torfinn; STARČUK Zenon jr.
• Year of publication: 2014
• Type: Article in Proceedings
• Conference: EMBS 2014 : 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
• MU Faculty or unit: Faculty of Medicine
• Field: Medical equipment
• Keywords: MRI; ultrasound; quantitative perfusion analysis
• Description: 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.

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