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

被引：49

作者：

Aljabar, P. ^{[1
]}

Bhatia, K. K.

Murgasov, M.

Hajnal, J. V.

Boardman, J. P.

Srinivasan, L.

Rutherford, M. A.

Dyet, L. E.

Edwards, A. D.

Rueckert, D.

机构：

[1] Imperial Coll London, Visual Informat Proc Grp, Dept Comp, London, England

[2] Imperial Coll, Hammersmith Hosp, Dept Paediat, London, England

[3] Imperial Coll, Hammersmith Hosp, MRC Clin Sci Ctr, London, England

来源：

NEUROIMAGE | 2008年 / 39卷 / 01期

基金：

英国医学研究理事会;

关键词：

registration; atlases; growth;

D O I：

10.1016/j.neuroimage.2007.07.067

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

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. (C) 2007 Elsevier Inc. All rights reserved.

引用

页码：348 / 358

页数：11

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