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2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821)
This paper presents a Bayesian framework for generating inverse-consistent inter-subject large deformation transformations between two multi-modal image sets of the brain. In this framework, the estimated transformations are generated using the maximal information about the underlying neuroanatomy present in each of the different modalities. This modality independent registration framework is achieved using the Bayesian paradigm and jointly estimating the posterior densities associated with thedoi:10.1109/isbi.2004.1398639 fatcat:tfqb5ofcufdt3huq7etxafrr6y