Semi-parametric arterial input functions for quantitative dynamic contrast enhanced magnetic resonance imaging in mice

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F18%3A00489561" target="_blank" >RIV/68081731:_____/18:00489561 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.mri.2017.10.004" target="_blank" >http://dx.doi.org/10.1016/j.mri.2017.10.004</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.mri.2017.10.004" target="_blank" >10.1016/j.mri.2017.10.004</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Semi-parametric arterial input functions for quantitative dynamic contrast enhanced magnetic resonance imaging in mice

Popis výsledku v původním jazyce

Objective: An extension of single- and multi channel blind deconvolution is presented to improve the estimation of the arterial input function (AIF) in quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI).nMethods: The Lucy-Richardson expectation-maximization algorithm is used to obtain estimates of the AIF and the tissue residue function (TRF). In the first part of the algorithm, nonparametric estimates of the AIF and TRF are obtained. In the second part, the decaying part of the AIF is approximated by three decaying exponentialnfunctions with the same delay, giving an almost noise free semi-parametric AIF. Simultaneously, the TRF is approximated using the adiabatic approximation of the Johnson-Wilson (aaJW) pharmacokinetic model.nResults: In simulations and tests on real data, use of this AIF gave perfusion values close to those obtained with the corresponding previously published nonparametric AIF, and are more noise robust.nConclusion: When used subsequently in voxelwise perfusion analysis, these semi-parametric AIFs should give more correct perfusion analysis maps less affected by recording noise than the corresponding nonparametric AIFs, and AIFs obtained from arteries.nSignificance: This paper presents a method to increase the noise robustness in the estimation of the perfusion parameter values in DCE-MRI.

Název v anglickém jazyce

Semi-parametric arterial input functions for quantitative dynamic contrast enhanced magnetic resonance imaging in mice

Popis výsledku anglicky

Objective: An extension of single- and multi channel blind deconvolution is presented to improve the estimation of the arterial input function (AIF) in quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI).nMethods: The Lucy-Richardson expectation-maximization algorithm is used to obtain estimates of the AIF and the tissue residue function (TRF). In the first part of the algorithm, nonparametric estimates of the AIF and TRF are obtained. In the second part, the decaying part of the AIF is approximated by three decaying exponentialnfunctions with the same delay, giving an almost noise free semi-parametric AIF. Simultaneously, the TRF is approximated using the adiabatic approximation of the Johnson-Wilson (aaJW) pharmacokinetic model.nResults: In simulations and tests on real data, use of this AIF gave perfusion values close to those obtained with the corresponding previously published nonparametric AIF, and are more noise robust.nConclusion: When used subsequently in voxelwise perfusion analysis, these semi-parametric AIFs should give more correct perfusion analysis maps less affected by recording noise than the corresponding nonparametric AIFs, and AIFs obtained from arteries.nSignificance: This paper presents a method to increase the noise robustness in the estimation of the perfusion parameter values in DCE-MRI.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Magnetic Resonance Imaging

ISSN

0730-725X

e-ISSN

—

Svazek periodika

46

Číslo periodika v rámci svazku

FEB

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

10-20

Kód UT WoS článku

000419426000002

EID výsledku v databázi Scopus

2-s2.0-85032255225