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Abstract #2943

An optimized protocol for neurite orientation dispersion and density imaging (NODDI) in preclinical studies

Andreia C. Silva 1 , Eleni Demetriou 1 , Magdalena Sokolska 1 , Mohamed Tachrount 1 , Niall Colgan 2 , Bernard Siow 2 , Mark F. Lythgoe 2 , Xavier Golay 1 , and Hui Zhang 3

1 Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, London, United Kingdom, 2 Centre for Advanced Biomedical Imaging, University College London, London, United Kingdom, 3 Department of Computer Science and Centre for Medical Image Computing, University College London, London, London, United Kingdom

Neurite Orientation Dispersion and Density Imaging (NODDI) is a recent model-based diffusion MRI technique that has gained rapid uptake in the clinical setting owing to the availability of an economical protocol. This work aims to empirically determine a similar protocol for the preclinical setting that provides the best trade-off between acquisition time and accuracy of parameter estimation. By assessing a broad range of the subset protocols extracted from a rich dataset with many b-values and repetitions, we find that NODDI parameters can be accurately estimated with a protocol that is less than an hour.

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