Correlation between diffusion kurtosis and NODDI metrics in neonates and young children

Shaheen Ahmed; Zhiyue J. Wang; Jonathan M. Chia; Nancy K. Rollins

doi:10.1117/12.2217197

Correlation between diffusion kurtosis and NODDI metrics in neonates and young children

Shaheen Ahmed, Zhiyue J. Wang, Jonathan M. Chia, Nancy K. Rollins

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 used 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).

Original language	English (US)
Title of host publication	Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
Publisher	SPIE
Volume	9788
ISBN (Electronic)	9781510600232
DOIs	https://doi.org/10.1117/12.2217197
State	Published - 2016
Event	Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, United States Duration: Mar 1 2016 → Mar 3 2016

Other

Other	Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging
Country	United States
City	San Diego
Period	3/1/16 → 3/3/16

Keywords

Correlation
DTI
Kurtosis imaging
Neonates
NODDI

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
Biomaterials
Radiology Nuclear Medicine and imaging

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Ahmed, S., Wang, Z. J., Chia, J. M., & Rollins, N. K. (2016). Correlation between diffusion kurtosis and NODDI metrics in neonates and young children. In Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging (Vol. 9788). [97881F] SPIE. https://doi.org/10.1117/12.2217197

Correlation between diffusion kurtosis and NODDI metrics in neonates and young children. / Ahmed, Shaheen; Wang, Zhiyue J.; Chia, Jonathan M.; Rollins, Nancy K.

Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. Vol. 9788 SPIE, 2016. 97881F.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ahmed, S, Wang, ZJ, Chia, JM & Rollins, NK 2016, Correlation between diffusion kurtosis and NODDI metrics in neonates and young children. in Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging. vol. 9788, 97881F, SPIE, Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, United States, 3/1/16. https://doi.org/10.1117/12.2217197

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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 used 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).",

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