Abstract #2524

Towards stable non-invasive estimation of Interstitial Fluid Pressure incorporating diffusion weighted data

Charles Baker^1,2, Nicholas Dowson¹, Michael Fay³, Rosalind Jeffree⁴, and Stephen Rose^1,2

¹CSIRO, Brisbane, Australia, ²University of Queensland, Brisbane, Australia, ³Genesis Cancer Care, Newcastle, Australia, ⁴Royal Brisbane and Women's Hospital, Brisbane, Australia

Interstitial Fluid Pressure (IFP) is an important potential reason behind the typically ineluctable progression of late stage glioma in the face of radical treatment. It can be inferred from dynamic contrast enhanced (DCE) MRI images, by voxel-wise fitting of a Tofts model to extract the plasma flux per unit volume and subsequent solving of a pressure equation. Ideally model fitting should be numerically stable and should account for the non-isotropic directionality of fluid flow. This paper describes our approach to achieve this.

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