Abstract #3471

Comparative analysis of diffusion models for glioma malignancy grade differentiation

Ivan I. Maximov¹, Aram Tonoyan², Daniel Edelhoff¹, Igor Pronin², and Dieter Suter¹

¹TU Dortmund University, Dortmund, Germany, ²Burdenko Neurosurgery Institute, Moscow, Russian Federation

Diffusion weighted imaging is very powerful technique allows one to diagnose and differentiate glioma malignancy in vivo. Recently, the non-Gaussian diffusion models exhibited their efficacy in a detection of microsctructure changes for low and high grade gliomas. In this study we perform a comparative analysis of four diffusion models (DTI, DKI, two- and three-compartment models) in ability to provide a quantitative measure of the gliomas malignancy in vivo.

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