Multi-modal diffeomorphic demons registration based on point-wise mutual information

Lu, H. and Reyes, M. and Šerifović, A. and Weber, S. and Sakurai, Y. and Yamagata, H. and Cattin, Ph. C.. (2010) Multi-modal diffeomorphic demons registration based on point-wise mutual information. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro. pp. 372-375.

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Official URL: https://edoc.unibas.ch/78935/

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In this paper we propose a variational approach for multimodal image registration based on the diffeomorphic demons algorithm. Diffeomorphic demons has proven to be a robust and efficient way for intensity-based image registration. However, the main drawback is that it cannot deal with multiple modalities. We propose to replace the standard demons similarity metric (image intensity differences) by point-wise mutual information (PMI) in the energy function. By comparing the accuracy between our PMI based diffeomorphic demons and the B-Spline based free-form deformation approach (FFD) on simulated deformations, we show the proposed algorithm performs significantly better.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Center for medical Image Analysis & Navigation (Cattin)
UniBasel Contributors:Cattin, Philippe Claude
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Note:Publication type according to Uni Basel Research Database: Conference paper
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Last Modified:26 Jan 2021 09:45
Deposited On:26 Jan 2021 09:45

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