Meeting Banner
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 Xing1,2 and Ives R. Levesque1,2,3,4
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.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here