2014
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
Blind deconvolution in dynamic contrast-enhanced MRI and ultrasound. Journal Article
In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2014, pp. 4276–4279, 2014, ISSN: 2694-0604 2375-7477, (Place: United States).
Abstract | Links | BibTeX | Tags: Animals, Cell Line, Contrast Media/*pharmacokinetics, Experimental/diagnostic imaging/metabolism, Gadolinium DTPA/*pharmacokinetics, Humans, Inbred BALB C, Magnetic Resonance Imaging/methods, Mice, Neoplasm Transplantation, Neoplasms, Tissue Distribution, Tumor, Ultrasonography
@article{jirik_blind_2014,
title = {Blind deconvolution in dynamic contrast-enhanced MRI and ultrasound.},
author = {Radovan Jiřík and Karel Souček and Martin Mézl and Michal Bartoš and Eva Dražanová and František Dráfi and Lucie Grossová and Jiří Kratochvíla and Ondřej Macíček and Kim Nylund and Aleš Hampl and Odd Helge Gilja and Torfinn Taxt and Zenon Jr Starčuk},
doi = {10.1109/EMBC.2014.6944569},
issn = {2694-0604 2375-7477},
year = {2014},
date = {2014-01-01},
journal = {Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference},
volume = {2014},
pages = {4276–4279},
abstract = {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.},
note = {Place: United States},
keywords = {Animals, Cell Line, Contrast Media/*pharmacokinetics, Experimental/diagnostic imaging/metabolism, Gadolinium DTPA/*pharmacokinetics, Humans, Inbred BALB C, Magnetic Resonance Imaging/methods, Mice, Neoplasm Transplantation, Neoplasms, Tissue Distribution, Tumor, Ultrasonography},
pubstate = {published},
tppubtype = {article}
}