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

Access to Document

10.1117/12.2217197

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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).",

keywords = "Correlation, DTI, Kurtosis imaging, Neonates, NODDI",

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AU - Ahmed, Shaheen

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AU - Chia, Jonathan M.

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AB - 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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