Multi atlas based segmentation: should we prefer the best atlas group over the group of best atlases?

P Zaffino, D Ciardo, P Raudaschl… - Physics in Medicine …, 2018 - iopscience.iop.org
P Zaffino, D Ciardo, P Raudaschl, K Fritscher, R Ricotti, D Alterio, G Marvaso, C Fodor
Physics in Medicine & Biology, 2018iopscience.iop.org
Multi atlas based segmentation (MABS) uses a database of atlas images, and an atlas
selection process is used to choose an atlas subset for registration and voting. In the current
state of the art, atlases are chosen according to a similarity criterion between the target
subject and each atlas in the database. In this paper, we propose a new concept for atlas
selection that relies on selecting the best performing group of atlases rather than the group
of highest scoring individual atlases.
Abstract
Multi atlas based segmentation (MABS) uses a database of atlas images, and an atlas selection process is used to choose an atlas subset for registration and voting. In the current state of the art, atlases are chosen according to a similarity criterion between the target subject and each atlas in the database. In this paper, we propose a new concept for atlas selection that relies on selecting the best performing group of atlases rather than the group of highest scoring individual atlases.
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