In this paper, we present a novel framework for constructing large deformation log-unbiased image registration models that generate theoretically and ...

In this paper, we present a novel framework for con- structing large deformation log-unbiased image registra- tion models that generate theoretically and ...

PDF | In this paper, we present a novel framework for constructing large deformation log-unbiased image registration models that generate theoretically.

Topology preserving log-unbiased nonlinear image registration: Theory and implementation. Igor Yanovsky, Paul M. Thompson, Stanley Osher, Alex D. Leow.

Unbiased registration models do not rely on regridding and are inherently diffeomorphic and topology preserving. To demonstrate the power of the proposed ...

An information theory approach to nonlinear image registration · Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation.

In this thesis, we compare the registration accuracy of our log unbiased multi-resolution registration model against the model provided by Igor et al. [16]. We ...

Topology preserving log-unbiased nonlinear image registration: Theory and implementation Proceedings of the Ieee Computer Society Conference On Computer ...

We present a regularisation method capable of selectively driving solutions towards those which would be considered anatomically plausible.

Topology Preserving Log-Unbiased Nonlinear Image Registration: Theory and Implementation. Conference Paper. Full-text available. Jun 2007; IEEE Comput Soc Conf ...