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Abstract #3397

Negentropy: non-Gaussian characterization for Diffusion Spectrum Imaging

Gabriel Varela-Mattatall1, Alexandra Tobisch2,3, Rüdiger Stirnberg2, Steren Chabert4, Tony Stöcker2,3, Cristian Tejos1,5, and Pablo Irarrazaval1,5

1Biomedical Imaging Center, Santiago, Chile, 2German Center of Neurodegenerative Diseases (DZNE), Bonn, Germany, 3University of Bonn, Bonn, Germany, 4Department of Biomedical Engineering, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile, 5Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

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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