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29 March 2016 Correlation between diffusion kurtosis and NODDI metrics in neonates and young children
Shaheen Ahmed, Zhiyue J. Wang, Jonathan M. Chia, Nancy K. Rollins
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Proceedings Volume 9788, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging; 97881F (2016) https://doi.org/10.1117/12.2217197
Event: SPIE Medical Imaging, 2016, San Diego, California, United States
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, Zhiyue J. Wang, Jonathan M. Chia, and 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); https://doi.org/10.1117/12.2217197
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KEYWORDS
Diffusion
Diffusion tensor imaging
Diffusion tensor imaging
Tissues
Brain
Thalamus
Computer programming
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