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

Fingerprint Dive into the research topics of 'Correlation between diffusion kurtosis and NODDI metrics in neonates and young children'. Together they form a unique fingerprint.

Cite this

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

@inproceedings{56d005a2f1b84af289be433d922d6c48,

title = "Correlation between diffusion kurtosis and NODDI metrics in neonates and young children",

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",

author = "Shaheen Ahmed and Wang, {Zhiyue J.} and Chia, {Jonathan M.} and Rollins, {Nancy K.}",

year = "2016",

doi = "10.1117/12.2217197",

language = "English (US)",

volume = "9788",

booktitle = "Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging",

publisher = "SPIE",

note = "Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging ; Conference date: 01-03-2016 Through 03-03-2016",

}

TY - GEN

T1 - Correlation between diffusion kurtosis and NODDI metrics in neonates and young children

AU - Ahmed, Shaheen

AU - Wang, Zhiyue J.

AU - Chia, Jonathan M.

AU - Rollins, Nancy K.

PY - 2016

Y1 - 2016

N2 - 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).

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).

KW - Correlation

KW - DTI

KW - Kurtosis imaging

KW - Neonates

KW - NODDI

UR - http://www.scopus.com/inward/record.url?scp=84978832813&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978832813&partnerID=8YFLogxK

U2 - 10.1117/12.2217197

DO - 10.1117/12.2217197

M3 - Conference contribution

AN - SCOPUS:84978832813

VL - 9788

BT - Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging

PB - SPIE

T2 - Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging

Y2 - 1 March 2016 through 3 March 2016

ER -

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

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this