Longitudinal analysis of the preterm cortex using multi-modal spectral matching

Eliza Orasanu, Pierre Louis Bazin, Andrew Melbourne, Marco Lorenzi, Herve Lombaert, Nicola J. Robertson, Giles Kendall, Nikolaus Weiskopf, Neil Marlow, Sebastien Ourselin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Extremely preterm birth (less than 32 weeks completed gestation) overlaps with a period of rapid brain growth and development. Investigating longitudinal brain changes over the preterm period in these infants may allow the development of biomarkers for predicting neurological outcome. In this paper we investigate longitudinal changes in cortical thickness,cortical fractional anisotropy and cortical mean diffusivity in a groupwise space obtained using a novel multi-modal spectral matching technique. The novelty of this method consists in its ability to register surfaces with very little shape complexity,like in the case of the early developmental stages of preterm infants,by also taking into account their underlying biology. A multi-modal method also allows us to investigate interdependencies between the parameters. Such tools have great potential in investigating in depth the regions affected by preterm birth and how they relate to each other.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings
PublisherSpringer Verlag
Pages255-263
Number of pages9
Volume9900 LNCS
ISBN (Print)9783319467191
DOIs
StatePublished - 2016
Externally publishedYes
Event1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 - Athens, Greece
Duration: Oct 21 2016Oct 21 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9900 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
CountryGreece
CityAthens
Period10/21/1610/21/16

Fingerprint

Longitudinal Analysis
Cortex
Brain
Biomarkers
Anisotropy
Interdependencies
Diffusivity
Biology
Overlap
Fractional

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Orasanu, E., Bazin, P. L., Melbourne, A., Lorenzi, M., Lombaert, H., Robertson, N. J., ... Ourselin, S. (2016). Longitudinal analysis of the preterm cortex using multi-modal spectral matching. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings (Vol. 9900 LNCS, pp. 255-263). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9900 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46720-7_30

Longitudinal analysis of the preterm cortex using multi-modal spectral matching. / Orasanu, Eliza; Bazin, Pierre Louis; Melbourne, Andrew; Lorenzi, Marco; Lombaert, Herve; Robertson, Nicola J.; Kendall, Giles; Weiskopf, Nikolaus; Marlow, Neil; Ourselin, Sebastien.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Vol. 9900 LNCS Springer Verlag, 2016. p. 255-263 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9900 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Orasanu, E, Bazin, PL, Melbourne, A, Lorenzi, M, Lombaert, H, Robertson, NJ, Kendall, G, Weiskopf, N, Marlow, N & Ourselin, S 2016, Longitudinal analysis of the preterm cortex using multi-modal spectral matching. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. vol. 9900 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9900 LNCS, Springer Verlag, pp. 255-263, 1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, Athens, Greece, 10/21/16. https://doi.org/10.1007/978-3-319-46720-7_30
Orasanu E, Bazin PL, Melbourne A, Lorenzi M, Lombaert H, Robertson NJ et al. Longitudinal analysis of the preterm cortex using multi-modal spectral matching. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Vol. 9900 LNCS. Springer Verlag. 2016. p. 255-263. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-46720-7_30
Orasanu, Eliza ; Bazin, Pierre Louis ; Melbourne, Andrew ; Lorenzi, Marco ; Lombaert, Herve ; Robertson, Nicola J. ; Kendall, Giles ; Weiskopf, Nikolaus ; Marlow, Neil ; Ourselin, Sebastien. / Longitudinal analysis of the preterm cortex using multi-modal spectral matching. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016 - 19th International Conference, Proceedings. Vol. 9900 LNCS Springer Verlag, 2016. pp. 255-263 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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