Construction of a neonatal cortical surface atlas using multimodal surface matching

Jelena Bozek, Sean Fitzgibbon, Robert Wright, Daniel Rueckert, Mark Jenkinson, Emma C. Robinson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

In this paper we propose a method for constructing a spatiotemporal cortical surface atlas of neonatal brains aged between 38 and 42 weeks of gestation at the time of scan. The method is based on a spherical registration approach: multimodal surface matching (MSM) registration, where cortical folding patterns were used to drive alignment. Cortical surfaces from 44 subjects were projected onto spheres and grouped into 5 weeks, with all surfaces within each group co-registered using pairwise MSM registration in order to avoid bias in the atlas towards any of the subjects. Finally, warps were projected to the anatomical surfaces to allow averaging of white matter surfaces, and folding metrics, in the template space. Our approach improves the sharpness of the templates from what can be achieved using affine alignment alone.

Original languageEnglish
Title of host publication2016 IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2016 - Proceedings
PublisherIEEE Computer Society
Pages775-778
Number of pages4
ISBN (Electronic)9781479923502
DOIs
Publication statusPublished or Issued - 15 Jun 2016
Externally publishedYes
Event2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic
Duration: 13 Apr 201616 Apr 2016

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2016-June
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Other

Other2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
CountryCzech Republic
CityPrague
Period13/04/1616/04/16

Keywords

  • MRI
  • MSM
  • cortical surface atlas
  • neonatal

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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