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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

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])

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

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

Publication year

2018

Confidentiality

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

Name of the periodical

Magnetic Resonance Imaging

ISSN

0730-725X

e-ISSN

—

Volume of the periodical

46

Issue of the periodical within the volume

FEB

Country of publishing house

US - UNITED STATES

Number of pages

11

Pages from-to

10-20

UT code for WoS article

000419426000002

EID of the result in the Scopus database

2-s2.0-85032255225