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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