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 proceedingConference proceeding contributionpeer-review

3 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 languageEnglish
Title of host publication2017 IEEE 14TH International Symposium on Biomedical Imaging (ISBI 2017)
PublisherWiley-IEEE Press
Pages126-129
Number of pages4
ISBN (Electronic)9781509011728
ISBN (Print)9781509011735, 9781509011711
DOIs
Publication statusPublished - 15 Jun 2017
Externally publishedYes
EventIEEE 14th International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro - Melbourne, Australia
Duration: 18 Apr 201721 Apr 2017

Conference

ConferenceIEEE 14th International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro
CountryAustralia
CityMelbourne
Period18/04/1721/04/17

Keywords

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

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