Abstract #1431

An analysis of fast and slow Neurite Orientation Dispersion and Density Index (NODDI) models

Kyler K. Hodgson¹, Edward DiBella¹, and Ganesh Adluru¹

¹University of Utah, Salt Lake City, UT, United States

This abstract reports on our analysis of two methods for computing the Neurite Orientation Dispersion and Density Index (NODDI). One method is markedly faster than the other and we demonstrate that the methods are highly similar in both normal and stroke studies. We perform statistical comparisons to draw conclusions regarding the data. Additionally, we report on our findings concerning the tuning of the faster NODDI method to reduce computation time and improve accuracy for specific microstructure maps.

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