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IPMI
2003
Springer

A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration

14 years 4 months ago
A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration
We formulate and interpret several registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implicit assumptions of each method yielding a better understanding of their relative strengths and weaknesses. Additionally, we discuss a generative statistical model from which we derive a novel analysis tool, the auto-information function, as a means of assessing and exploiting the common spatial dependencies inherent in multi-modal imagery. We analytically derive useful properties of the auto-information as well as verify them empirically on multi-modal imagery. Among the useful aspects of the auto-information function is that it can be computed from imaging modalities independently and it allows one to decompose the search space of registration problems.
John W. Fisher III, Lilla Zöllei, William M.
Added 16 Nov 2009
Updated 16 Nov 2009
Type Conference
Year 2003
Where IPMI
Authors John W. Fisher III, Lilla Zöllei, William M. Wells III
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