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Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU129762" target="_blank" >RIV/00216305:26220/18:PU129762 - isvavai.cz</a>

  • Alternative codes found

    RIV/68081731:_____/18:00497932 RIV/67985556:_____/18:00497932 RIV/00216224:14110/18:00105311 RIV/65269705:_____/18:00070319

  • Result on the web

    <a href="https://content.sciendo.com/view/journals/msr/18/6/article-p262.xml" target="_blank" >https://content.sciendo.com/view/journals/msr/18/6/article-p262.xml</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1515/msr-2018-0036" target="_blank" >10.1515/msr-2018-0036</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI

  • Original language description

    Dynamic contrast enhanced MRI (DCE-MRI) and dynamic susceptibility contrast MRI (DSC-MRI) are perfusion imaging techniques used mainly for clinical and preclinical measurement of vessel permeability and capillary blood flow, respectively. It is advantageous to apply both methods to exploit their complementary information about the perfusion status of the tissue. We propose a novel acquisition method that combines advantages of the current simultaneous and sequential acquisition. The proposed method consists of a DCE-MRI acquisition interrupted by DSC-MRI acquisition. A new method for processing of the DCE-MRI data is proposed which takes the interleaved acquisition into account. Analysis of both the DCE- and DSC-MRI data is reformulated so that they are approximated by the same pharmacokinetic model (constrained distributed capillary adiabatic tissue homogeneity model). This provides a straightforward evaluation of the methodology as some of the estimated DCE- and DSC-MRI perfusion parameters should be identical. Evaluation on synthetic data showed an acceptable precision and no apparent bias introduced by the interleaved character of the DCE-MRI acquisition. Intravascular perfusion parameters obtained from clinical glioma data showed a fairly high correlation of blood flow estimates from DCE- and DSC-MRI, however, an unknown scaling factor was still present mainly because of the tissue-specific r2* relaxivity. The results show validity of the proposed acquisition method. They also indicate that simultaneous processing of both DCE- and DSC-MRI data with joint estimation of some perfusion parameters (included in both DCE- and DSC-MRI) might be possible to increase the reliability of the DCE- and DSC-MRI methods alone.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • 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)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Measurement Science Review

  • ISSN

    1335-8871

  • e-ISSN

  • Volume of the periodical

    18

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    10

  • Pages from-to

    262-271

  • UT code for WoS article

    000452196100006

  • EID of the result in the Scopus database

    2-s2.0-85058653636