A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression

Kaikai Shen; Jurgen Fripp; Kerstin Pannek; Joanne George; Paul Colditz; Roslyn Boyd; Stephen Rose

doi:10.1109/ISBI.2017.7950484

A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression

Kaikai Shen^*, Jurgen Fripp, Kerstin Pannek, Joanne George, Paul Colditz, Roslyn Boyd, Stephen Rose

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

Spatio-temporal atlas is a useful tool in imaging studies of neurodevelopment, which characterizes the growth of brain, and allows the monitoring of its development. The imaging of preterm and term born infants provides opportunities to develop a series of spatio-temporal atlases that track the changes during the particular period of neurodevelopment between. The aim of this paper is to develop a spatiot-emporal atlas of diffusion MRI for neonatal brains between 32 to 42 weeks postmenstrual age (PMA). We subdivided the cohort consisting of preterm- and term-born infants according to their PMA at the MRI scan based on a kernel ridge regression, and generated the atlases based on Fibre Orientation Distribution (FOD) reconstruction of the diffusion data.

Original language	English
Title of host publication	2017 IEEE 14TH International Symposium on Biomedical Imaging (ISBI 2017)
Publisher	Wiley-IEEE Press
Pages	126-129
Number of pages	4
ISBN (Electronic)	9781509011728
ISBN (Print)	9781509011735, 9781509011711
DOIs	https://doi.org/10.1109/ISBI.2017.7950484
Publication status	Published - 15 Jun 2017
Externally published	Yes
Event	IEEE 14th International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro - Melbourne, Australia Duration: 18 Apr 2017 → 21 Apr 2017

Conference

Conference	IEEE 14th International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro
Country/Territory	Australia
City	Melbourne
Period	18/04/17 → 21/04/17

Keywords

spatio-temporal atlas
neonatal neuroimaging
diffusion MRI
fibre orientation distribution
kernel ridge regression

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10.1109/ISBI.2017.7950484

Cite this

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title = "A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression",

abstract = "Spatio-temporal atlas is a useful tool in imaging studies of neurodevelopment, which characterizes the growth of brain, and allows the monitoring of its development. The imaging of preterm and term born infants provides opportunities to develop a series of spatio-temporal atlases that track the changes during the particular period of neurodevelopment between. The aim of this paper is to develop a spatiot-emporal atlas of diffusion MRI for neonatal brains between 32 to 42 weeks postmenstrual age (PMA). We subdivided the cohort consisting of preterm- and term-born infants according to their PMA at the MRI scan based on a kernel ridge regression, and generated the atlases based on Fibre Orientation Distribution (FOD) reconstruction of the diffusion data.",

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author = "Kaikai Shen and Jurgen Fripp and Kerstin Pannek and Joanne George and Paul Colditz and Roslyn Boyd and Stephen Rose",

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doi = "10.1109/ISBI.2017.7950484",

language = "English",

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booktitle = "2017 IEEE 14TH International Symposium on Biomedical Imaging (ISBI 2017)",

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Shen, K, Fripp, J, Pannek, K, George, J, Colditz, P, Boyd, R & Rose, S 2017, A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression. in 2017 IEEE 14TH International Symposium on Biomedical Imaging (ISBI 2017). Wiley-IEEE Press, pp. 126-129, IEEE 14th International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro, Melbourne, Australia, 18/04/17. https://doi.org/10.1109/ISBI.2017.7950484

TY - GEN

T1 - A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression

AU - Shen, Kaikai

AU - Fripp, Jurgen

AU - Pannek, Kerstin

AU - George, Joanne

AU - Colditz, Paul

AU - Boyd, Roslyn

AU - Rose, Stephen

PY - 2017/6/15

Y1 - 2017/6/15

N2 - Spatio-temporal atlas is a useful tool in imaging studies of neurodevelopment, which characterizes the growth of brain, and allows the monitoring of its development. The imaging of preterm and term born infants provides opportunities to develop a series of spatio-temporal atlases that track the changes during the particular period of neurodevelopment between. The aim of this paper is to develop a spatiot-emporal atlas of diffusion MRI for neonatal brains between 32 to 42 weeks postmenstrual age (PMA). We subdivided the cohort consisting of preterm- and term-born infants according to their PMA at the MRI scan based on a kernel ridge regression, and generated the atlases based on Fibre Orientation Distribution (FOD) reconstruction of the diffusion data.

AB - Spatio-temporal atlas is a useful tool in imaging studies of neurodevelopment, which characterizes the growth of brain, and allows the monitoring of its development. The imaging of preterm and term born infants provides opportunities to develop a series of spatio-temporal atlases that track the changes during the particular period of neurodevelopment between. The aim of this paper is to develop a spatiot-emporal atlas of diffusion MRI for neonatal brains between 32 to 42 weeks postmenstrual age (PMA). We subdivided the cohort consisting of preterm- and term-born infants according to their PMA at the MRI scan based on a kernel ridge regression, and generated the atlases based on Fibre Orientation Distribution (FOD) reconstruction of the diffusion data.

KW - spatio-temporal atlas

KW - neonatal neuroimaging

KW - diffusion MRI

KW - fibre orientation distribution

KW - kernel ridge regression

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DO - 10.1109/ISBI.2017.7950484

M3 - Conference proceeding contribution

SN - 9781509011735

SN - 9781509011711

SP - 126

EP - 129

BT - 2017 IEEE 14TH International Symposium on Biomedical Imaging (ISBI 2017)

PB - Wiley-IEEE Press

T2 - IEEE 14th International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro

Y2 - 18 April 2017 through 21 April 2017

ER -

A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression

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Keywords

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