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.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Aljabar P,Bhatia KK,Murgasova M,Hajnal JV,Boardman JP,Srinivasan L,Rutherford MA,Dyet LE,Edwards AD,Rueckert Ddoi
10.1016/j.neuroimage.2007.07.067subject
Has Abstractpub_date
2008-01-01 00:00:00pages
348-58issue
1eissn
1053-8119issn
1095-9572pii
S1053-8119(07)00687-8journal_volume
39pub_type
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