Using multichannel blind AIF estimation with the DCATH model to allow increased temporal sampling interval in DCE-MRI

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F16%3APU125923" target="_blank" >RIV/00216305:26220/16:PU125923 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s10334-016-0570-3" target="_blank" >http://dx.doi.org/10.1007/s10334-016-0570-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10334-016-0570-3" target="_blank" >10.1007/s10334-016-0570-3</a>

Result language
angličtina
Original language name
Using multichannel blind AIF estimation with the DCATH model to allow increased temporal sampling interval in DCE-MRI
Original language description
Dynamic contrast-enhanced (DCE) MRI is used for estimation of tissue perfusion parameters, mainly in oncology. Quantitative DCE-MRI analysis requires knowledge of the arterial input function (AIF). It can be measured from a feeding artery, eventually averaged over a population. This leads to partial-volume and flow artifacts, ignored dispersion terms and variability among patients. Multichannel blind deconvolution is an alternative approach avoiding these problems. The AIF is estimated from several tissue tracer concentration curves. Here, blind deconvolution with a parametric AIF model is used to allow lower temporal resolution in DCE-MRI acquisition, while maintaining the accuracy of perfusion analysis. Model for impulse residue function (IRF), DCATH, is used.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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