TY  - JOUR
AU  - Lancaster, J.L.
AU  - Cykowski, M.D.
AU  - McKay, D.R.
AU  - Kochunov, P.V.
AU  - Fox, P.T.
AU  - Rogers, W.
AU  - Toga, A.W.
AU  - Zilles, K.
AU  - Amunts, K.
AU  - Mazziotta, J.
TI  - Anatomical Global Spatial Normalization
JO  - Neuroinformatics
VL  - 8
SN  - 1539-2791
CY  - New York, NY
PB  - Springer
M1  - PreJuSER-10475
SP  - 171 - 182
PY  - 2010
N1  - Research supported by grants from the Human Brain Mapping Project jointly funded by NIMH and NIDA (P20 MH/DA52176), the General Clinical Research Core (HSC19940074H), and NIBIB (K01 EB006395). Additional support was provided through the NIH/National Center for Research Resources through grants P41 RR013642 and U54 RR021813 (Center for Computational Biology (CCB)). Also, support for Cykowski was from F32-DC009116 to MDC (NIH/NIDCD). This work was partly supported by the Initiative and Networking Fund of the Helmholtz Association within the Helmholtz Alliance on Systems Biology (KZ). KA was partly supported by the Bundesministerium fur Bildung und Forschung (01 GW0613, 01GW0771, 01GW0623), and the Deutsche Forschungsgemeinschaft (AM 118/1-2).
AB  - Anatomical global spatial normalization (aGSN) is presented as a method to scale high-resolution brain images to control for variability in brain size without altering the mean size of other brain structures. Two types of mean preserving scaling methods were investigated, "shape preserving" and "shape standardizing". aGSN was tested by examining 56 brain structures from an adult brain atlas of 40 individuals (LPBA40) before and after normalization, with detailed analyses of cerebral hemispheres, all gyri collectively, cerebellum, brainstem, and left and right caudate, putamen, and hippocampus. Mean sizes of brain structures as measured by volume, distance, and area were preserved and variance reduced for both types of scale factors. An interesting finding was that scale factors derived from each of the ten brain structures were also mean preserving. However, variance was best reduced using whole brain hemispheres as the reference structure, and this reduction was related to its high average correlation with other brain structures. The fractional reduction in variance of structure volumes was directly related to ρ (2), the square of the reference-to-structure correlation coefficient. The average reduction in variance in volumes by aGSN with whole brain hemispheres as the reference structure was approximately 32%. An analytical method was provided to directly convert between conventional and aGSN scale factors to support adaptation of aGSN to popular spatial normalization software packages.
KW  - Adult
KW  - Algorithms
KW  - Brain: anatomy & histology
KW  - Brain: physiology
KW  - Brain Mapping: methods
KW  - Cerebellum: anatomy & histology
KW  - Cerebellum: physiology
KW  - Cerebral Cortex: anatomy & histology
KW  - Cerebral Cortex: physiology
KW  - Computer Simulation: standards
KW  - Female
KW  - Humans
KW  - Image Processing, Computer-Assisted: methods
KW  - Magnetic Resonance Imaging: methods
KW  - Male
KW  - Models, Statistical
KW  - Organ Size: physiology
KW  - Young Adult
KW  - J (WoSType)
LB  - PUB:(DE-HGF)16
C6  - pmid:20582489
C2  - pmc:PMC2945458
UR  - <Go to ISI:>//WOS:000282212500004
DO  - DOI:10.1007/s12021-010-9074-x
UR  - https://juser.fz-juelich.de/record/10475
ER  -