Adaptive Filtering of Dynamic Contrast Enhanced Magnetic Resonance Images

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU91091" target="_blank" >RIV/00216305:26220/11:PU91091 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Adaptive Filtering of Dynamic Contrast Enhanced Magnetic Resonance Images
Original language description
Dynamic contrast enhanced T1-weighted magnetic resonance imaging (DCE-MRI) is a powerful tool for cancer diagnosis, monitoring of treatment effects and evaluation of anticancer drugs. To get information about perfusion and microcirculation in a tissue, four-dimensional (3 space coordinates and time) dataset must be processed, i.e. converted to represent concentration of contrast agent and fitted with proper model. Both these steps are sensitive to noise presented in the data. Noise in the DCE-MRI is notnegligible because high temporal and spatial samplings are required simultaneously. If signal to noise ratio (SNR) is too high, curve fitting of dilution curves with more sophisticated models is imprecise or not possible, hence noise suppression is important. Usual techniques for noise suppression as averaging in time or spatial domains remove high frequencies, which causes serious changes in the shapes of the dilution curves or blurring respectively. Median filtering is not useful beca
Czech name
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Czech description
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Project
<a href="/en/project/GA102%2F09%2F1690" target="_blank" >GA102/09/1690: Improvement of diagnostic value in dynamic contrast enhanced imaging using MRI and ultrasonography in medicine</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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