Assessment of brain growth in early childhood using deformation-based morphometry

P. Aljabar; K. K. Bhatia; M. Murgasova; J. V. Hajnal; J. P. Boardman; L. Srinivasan; M. A. Rutherford; L. E. Dyet; A. D. Edwards; D. Rueckert

doi:10.1016/j.neuroimage.2007.07.067

Assessment of brain growth in early childhood using deformation-based morphometry

P. Aljabar, K. K. Bhatia, M. Murgasova, J. V. Hajnal, J. P. Boardman, L. Srinivasan, M. A. Rutherford, L. E. Dyet, A. D. Edwards, D. Rueckert

Research output: Contribution to journal › Article › peer-review

52 Scopus citations

Abstract

We present methods for the quantitative analysis of brain growth based on the registration of longitudinal MR image data with the use of Jacobian determinant maps to characterise neuroanatomical changes. The individual anatomies, growth maps and tissue classes are also spatially normalised in an 'average space' and aggregated to provide atlases for the population at each timepoint. The average space representation is obtained using the average intersubject transformation within each timepoint. In an exemplar study, this approach is used to assess brain development in 25 infants between 1 and 2 years, and we show consistency in growth estimates between registration and segmentation approaches.

Original language	English
Pages (from-to)	348-358
Number of pages	11
Journal	NeuroImage
Volume	39
Issue number	1
DOIs	https://doi.org/10.1016/j.neuroimage.2007.07.067
State	Published - 1 Jan 2008
Externally published	Yes

Keywords

Atlases
Growth
Registration

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10.1016/j.neuroimage.2007.07.067

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AU - Bhatia, K. K.

AU - Murgasova, M.

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AU - Boardman, J. P.

AU - Srinivasan, L.

AU - Rutherford, M. A.

AU - Dyet, L. E.

AU - Edwards, A. D.

AU - Rueckert, D.

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Assessment of brain growth in early childhood using deformation-based morphometry

Abstract

Keywords

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