Title
Symmetric atlasing and model based segmentation: an application to the hippocampus in older adults.
Abstract
In model-based segmentation, automated region identification is achieved via registration of novel data to a pre-determined model. The desired structure is typically generated via manual tracing within this model. When model-based segmentation is applied to human cortical data, problems arise if left-right comparisons are desired. The asymmetry of the human cortex requires that both left and right models of a structure be composed in order to effectively segment the desired structures. Paradoxically, defining a model in both hemi-spheres carries a likelihood of introducing bias to one of the structures. This paper describes a novel technique for creating a symmetric average model in which both hemispheres are equally represented and thus left-right comparison is possible. This work is an extension of that proposed by Guimond et al. Hippocampal segmentation is used as a test-case in a cohort of 118 normal eld-erly subjects and results are compared with expert manual tracing.
Year
DOI
Venue
2006
10.1007/11866763_8
MICCAI (2)
Keywords
Field
DocType
novel data,novel technique,hippocampal segmentation,model-based segmentation,pre-determined model,left-right comparison,right model,symmetric average model,human cortical data,human cortex,older adult,symmetric atlasing
Computer vision,Pattern recognition,Computer science,Segmentation,Artificial intelligence,Hippocampal formation,Tracing,Hippocampus
Conference
Volume
Issue
ISSN
9
Pt 2
0302-9743
ISBN
Citations 
PageRank 
3-540-44727-X
41
2.66
References 
Authors
4
6
Name
Order
Citations
PageRank
Günther Grabner1604.93
Andrew L. Janke223616.23
Marc M Budge3412.66
David Smith4412.66
Jens Pruessner5603.86
D. Louis Collins63915403.90