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IPMI
2009
Springer

Unifying encoding of spatial information in mutual information for nonrigid registration

13 years 2 months ago
Unifying encoding of spatial information in mutual information for nonrigid registration
As encoding spatial information into mutual information (MI) can improve the nonrigid registration against bias fields where the conventional MI is challenged, we propose to unify this encoding into the computation of the joint probability distribution function (PDF). The PDF is computed based on local volumes while the global intensity information is also incorporated to maintain the global intensity class linkage. We demonstrate this computation method can unify the PDF computation in regional MI, conditional MI, and the conventional MI. We then derive two categories of methods and apply them to different registration tasks. The experimental results demonstrate that both categories can significantly improve the registration.
David J. Hawkes, Sébastien Ourselin, Xiahai
Added 17 Nov 2009
Updated 17 Nov 2009
Type Conference
Year 2009
Where IPMI
Authors David J. Hawkes, Sébastien Ourselin, Xiahai Zhuang
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