29 March 2016 Correlation between diffusion kurtosis and NODDI metrics in neonates and young children
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Abstract
Diffusion Tensor Imaging (DTI) uses single shell gradient encoding scheme for studying brain tissue diffusion. NODDI (Neurite Orientation Dispersion and Density Imaging) incorporates a gradient scheme with multiple b-values which is used to characterize neurite density and coherence of neuron fiber orientations. Similarly, the diffusion kurtosis imaging also uses a multiple shell scheme to quantify non-Gaussian diffusion but does not assume a tissue model like NODDI. In this study we investigate the connection between metrics derived by NODDI and DKI in children with ages from 46 weeks to 6 years. We correlate the NODDI metrics and Kurtosis measures from the same ROIs in multiple brain regions. We compare the range of these metrics between neonates (46 - 47 weeks), infants (2 -10 months) and young children (2 – 6 years). We find that there exists strong correlation between neurite density vs. mean kurtosis, orientation dispersion vs. kurtosis fractional anisotropy (FA) in pediatric brain imaging.
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Shaheen Ahmed, Shaheen Ahmed, Zhiyue J. Wang, Zhiyue J. Wang, Jonathan M. Chia, Jonathan M. Chia, Nancy K. Rollins, Nancy K. Rollins, } "Correlation between diffusion kurtosis and NODDI metrics in neonates and young children", Proc. SPIE 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, 97881F (29 March 2016); doi: 10.1117/12.2217197; https://doi.org/10.1117/12.2217197
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