Measuring non-Gaussianity in the diffusion signal has revealed new possibilities for discovering new biomarkers for clinical applications. Therefore, it results desirable to incorporate and quantify the non-Gaussian trait of the diffusion propagator in Diffusion Spectrum Imaging. Unfortunately, the established index known as Kurtosis is sensitive to noise, making it unfeasible to obtain from the noisier, but higher resolution propagator. In this work, we propose an alternative index known as Negentropy. We demonstrate from noisy simulations and in-vivo DSI data the robustness of the Negentropy index against Kurtosis.
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