Abstract #2465

Non-uniform noise correction in dynamic contrast-enhanced MR images reveals superiority of the two compartmental exchange model over the extended Tofts and the adiabatic approximation to the tissue homogeneity models in glioma patients

Georgios Krokos¹, Neil Thacker¹, Ibrahim Djoukhadar¹, David Morris¹, Alan Jackson¹, and Marie-Claude Asselin¹

¹Medical and Human Sciences, University of Manchester, Manchester, United Kingdom

Variability in the underlying assumptions and mathematical formulations of the commonly used models for pharmacokinetic analysis of dynamic contrast-enhanced (DCE) MRI data make model selection not straightforward[1]. The variable noise in DCE-MR images affects the precision of parameters such that correcting the chi-square for the non-uniform noise is required for model comparison[2]. After noise correction, the two-compartmental exchange model fitted the data better, particularly in grade IV glioma, compared to the extended Tofts and adiabatic approximation to the tissue homogeneity models. Lengthening the acquisition duration not only provided more precise parameter estimates but also reduced the mathematical correlations between parameters.

This abstract and the presentation materials are available to members only; a login is required.

Join Here