Blind deconvolution estimation of an arterial input function for small animal DCE-MRI

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F19%3A00507813" target="_blank" >RIV/68081731:_____/19:00507813 - isvavai.cz</a>

Alternative codes found

RIV/68081707:_____/19:00507813 RIV/67985556:_____/19:00507813 RIV/00159816:_____/19:00072487 RIV/00216224:14110/19:00112960

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0730725X18306763?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0730725X18306763?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.mri.2019.05.024" target="_blank" >10.1016/j.mri.2019.05.024</a>

Result language

angličtina

Original language name

Blind deconvolution estimation of an arterial input function for small animal DCE-MRI

Original language description

Purpose: One of the main obstacles for reliable quantitative dynamic contrast-enhanced (DCE) MRI is the need for accurate knowledge of the arterial input function (AIF). This is a special challenge for preclinical small animal applications where it is very difficult to measure the AIF without partial volume and flow artifacts. Furthermore, using advanced pharmacokinetic models (allowing estimation of blood flow and permeability-surface area product in addition to the classical perfusion parameters) poses stricter requirements on the accuracy and precision of AIF estimation. This paper addresses small animal DCE-MRI with advanced pharmacokinetic models and presents a method for estimation of the AIF based on blind deconvolution. Methods: A parametric AIF model designed for small animal physiology and use of advanced pharmacokinetic models is proposed. The parameters of the AIF are estimated using multichannel blind deconvolution. Results: Evaluation on simulated data show that for realistic signal to noise ratios blind deconvolution AIF estimation leads to comparable results as the use of the true AIF. Evaluation on real data based on DCE-MRI with two contrast agents of different molecular weights showed a consistence with the known effects of the molecular weight. Conclusion: Multi-channel blind deconvolution using the proposed AIF model specific for small animal DCE-MRI provides reliable perfusion parameter estimates under realistic signal to noise conditions.

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

2019

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

62

Issue of the periodical within the volume

OCT

Country of publishing house

US - UNITED STATES

Number of pages

11

Pages from-to

46-56

UT code for WoS article

000481725200006

EID of the result in the Scopus database

2-s2.0-85067856394