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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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