id: 02018165
dt: a
an: 02018165
au: Koikkalainen, Juha; Lötjönen, Jyrki
ti: Model library for deformable model-based segmentation of 3-D brain
    MR-images.
so: Dohi, Takeyoshi (ed.) et al., Medical image computing and computer-assisted
    intervention - MICCAI 2002. 5th international conference, Tokyo, Japan,
    September 25-28, 2002. Proceedings, Part I. Berlin: Springer. Lect.
    Notes Comput. Sci. 2488, 540-547 (2002).
py: 2002
pu: Berlin: Springer
la: EN
cc: I.4 J.3
ut: 
ci: 
li: http://link.springer.de/link/service/series/0558/bibs/2488/24880540.htm
ab: Summary: A novel method to use model libraries in segmentation is
    introduced. Using similarity measures one model from a model library is
    selected. This model is then used in model-based segmentation. The
    proposed method is simple, straightforward and fast. Various similarity
    measures, both voxel and edge measures, were examined. Two different
    segmentation methods were used for validating the functionality of the
    proposed procedure. Results show that a statistically significant
    improvement in segmentation accuracy was achieved in each study case.
rv: