Assessment of brain growth in early childhood using deformation-based morphometry.
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.
Aljabar
P
P
Visual Information Processing Group, Department of Computing, Imperial College London, and Department of Paediatrics, Hammersmith Hospital, London, UK. paul.aljabar@imperial.ac.uk
Bhatia
K K
KK
Murgasova
M
M
Hajnal
J V
JV
Boardman
J P
JP
Srinivasan
L
L
Rutherford
M A
MA
Dyet
L E
LE
Edwards
A D
AD
Rueckert
D
D
D000375:Aging / Q000473:pathology* / Q000502:physiology*; D001921:Brain / Q000033:anatomy & histology* / Q000254:growth & development*; D002675:Child, Preschool; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007223:Infant; D007231:Infant, Newborn; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008953:Models, Anatomic; D008959:Models, Neurological; D009929:Organ Size / Q000502:physiology; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique