Towards stable non-invasive estimation of Interstitial Fluid Pressure incorporating diffusion weighted data
Charles Baker1,2, Nicholas Dowson1, Michael Fay3, Rosalind Jeffree4, and Stephen Rose1,2
1CSIRO, Brisbane, Australia, 2University of Queensland, Brisbane, Australia, 3Genesis Cancer Care, Newcastle, Australia, 4Royal Brisbane and Women's Hospital, Brisbane, Australia
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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