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2010

Multiscale Model of Liver DCE-MRI Towards a Better Understanding of Tumor Complexity

8 years 5 months ago
Multiscale Model of Liver DCE-MRI Towards a Better Understanding of Tumor Complexity
Abstract—The use of quantitative imaging for the characterization of hepatic tumors in MRI can improve the diagnosis and therefore the treatment of these life-threatening tumors. However, image parameters remain difficult to interpret because they result from a mixture of complex processes related to pathophysiology and to acquisition. These processes occur at variable spatial and temporal scales. We propose a multiscale model of liver Dynamic Contrast-Enhanced (DCE) MRI in order to better understand the tumor complexity in images. Our design couples a model of the organ (tissue and vasculature) with a model of the image acquisition. At the macroscopic scale, vascular trees take a prominent place. Regarding the formation of MRI images, we propose a distributed model of parenchymal biodistribution of extracellular contrast agents. Model parameters can be adapted to simulate the tumor development. The sensitivity of the multiscale model of liver DCE-MRI was studied through observation...
Muriel Mescam, Marek Kretowski, Johanne Béz
Added 31 Jan 2011
Updated 31 Jan 2011
Type Journal
Year 2010
Where TMI
Authors Muriel Mescam, Marek Kretowski, Johanne Bézy-Wendling
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