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Abstract #3908

A Numerical Advection-Diffusion Model to Fit Dynamic Contrast-Enhanced MRI (DCE-MRI) Data

Nicolas Michoux1, Denis Rommel1, Emmanuel Lefranois2

1IMAG - Radiology Department, Universit Catholique de Louvain, Brussels, Belgium; 2UMR 6253 UTC-CNRS, Universit de Technologie de Compigne, Compigne, France

Fitting kinetic models to DCE-MRI data is a useful method to study mechanisms such as perfusion and diffusion in tissues. Compartmental models with well-mixed spaces and diffusion as sole mechanism of mass transport are commonly used for this purpose. However, advection mechanism may play an important role in mass transport. Therefore, we assess a model of microvascular structure built upon a network of elementary segments. The advection-diffusion equation is then solved with a finite element approach to fit perfusion data. Although the advection-diffusion model requires a precise dimensioning, preliminary results suggest that DCE-MRI data can be fitted with such model.