Abstract #4433

A simulation study of the robustness of cell size and volume mapping for tissue with two underlying cell populations using diffusion weighted MRI

Shu Xing^1,2 and Ives R. Levesque^1,2,3,4

¹Department of Physics, McGill University, Montreal, QC, Canada, ²Medical Physics Unit, McGill University, Montreal, QC, Canada, ³McGill University Health Center Research Institute, Montreal, QC, Canada, ⁴Department of Oncology, McGill University, Montreal, QC, Canada

Advanced diffusion-weighted MRI allows non-invasive cell size and volume mapping in cancerous tumours. Existing methods assume that a given voxel contains one cell population. This work investigates the feasibility of estimating the radii and volume fractions of 2 cell populations co-existing in the same voxel and introduces techniques to improve the robustness and stability of fitting. The influence of noise on the fitted parameters is also examined for a range of SNR values. Reliable estimation of cell size and volume for tissue with 2 cell populations opens exciting avenue of potential applications in both tumor diagnosis and treatment monitoring.

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