Normalisation of neonatal brain network measures using stochastic approaches

Schirmer M, Ball G, Counsell SJ, Edwards AD, Rueckert D, Hajnal JV, Aljabar P (2013)

Publication Type: Conference contribution

Publication year: 2013

Journal

Lecture Notes in Computer Science Springer Verlag

Book Volume: 8149 LNCS

Pages Range: 574-581

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: JPN

ISBN: 9783642408106

DOI: 10.1007/978-3-642-40811-3_72

Abstract

Diffusion tensor imaging, tractography and the subsequent derivation of network measures are becoming an established approach in the exploration of brain connectivity. However, no gold standard exists in respect to how the brain should be parcellated and therefore a variety of atlas- and random-based parcellation methods are used. The resulting challenge of comparing graphs with differing numbers of nodes and uncertain node correspondences necessitates the use of normalisation schemes to enable meaningful intra- and inter-subject comparisons. This work proposes methods for normalising brain network measures using random graphs. We show that the normalised measures are locally stable over distinct random parcellations of the same subject and, applying it to a neonatal serial diffusion MRI data set, we demonstrate their potential in characterising changes in brain connectivity during early development. © 2013 Springer-Verlag.

Involved external institutions

King’s College London GB United Kingdom (GB) Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB)

How to cite

APA:

Schirmer, M., Ball, G., Counsell, S.J., Edwards, A.D., Rueckert, D., Hajnal, J.V., & Aljabar, P. (2013). Normalisation of neonatal brain network measures using stochastic approaches. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 574-581). JPN.

MLA:

Schirmer, Markus, et al. "Normalisation of neonatal brain network measures using stochastic approaches." Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, JPN 2013. 574-581.

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