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

Orasanu, E., Bazin, P.-L., Melbourne, A., Lorenzi, M., Lombaert, H., Robertson, N. J., et al. (2016). Longitudinal analysis of the preterm cortex using multi-modal spectral matching. In S. Ourselin, L. Joskowicz, M. R. Sabuncu, G. Unal, & W. Wells (Eds.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I (pp. 255-263). Cham: Spinger. doi:10.1007/978-3-319-46720-7_30.

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 Creators:
Orasanu, Eliza1, Author
Bazin, Pierre-Louis2, Author              
Melbourne, Andrew1, Author
Lorenzi, Marco1, Author
Lombaert, Herve1, Author
Robertson, Nicola J.1, Author
Kendall, Giles1, Author
Weiskopf, Nikolaus2, Author              
Marlow, Neil1, Author
Ourselin, Sebastien1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

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Free keywords: Fractional anisotropy; Diffusion tensor image; Preterm birth; Cortical thickness; Cortical surface
 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.

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 Dates: 2016-10-022016-10
 Publication Status: Published in print
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 Identifiers: DOI: 10.1007/978-3-319-46720-7_30
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Title: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I
Source Genre: Proceedings
 Creator(s):
Ourselin, Sebastien1, Editor
Joskowicz, Leo1, Editor
Sabuncu, Mert R.1, Editor
Unal, Gozde1, Editor
Wells, William1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Cham : Spinger
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 255 - 263 Identifier: DOI: 10.1007/978-3-319-46720-7
ISBN: 978-3-319-46719-1
ISBN: 978-3-319-46720-7

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 9900 Sequence Number: - Start / End Page: - Identifier: -