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Nonrigid Image Registration Using an Entropic Similarity

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2 Author(s)
Khader, M. ; Concordia Inst. for Inf. Syst. Eng., Concordia Univ., Montréal, QC, Canada ; Hamza, A.B.

In this paper, we propose a nonrigid image registration technique by optimizing a generalized information-theoretic similarity measure using the quasi-Newton method as an optimization scheme and cubic B-splines for modeling the nonrigid deformation field between the fixed and moving 3-D image pairs. To achieve a compromise between the nonrigid registration accuracy and the associated computational cost, we implement a three-level hierarchical multiresolution approach such that the image resolution is increased in a coarse to fine fashion. Experimental results are provided to demonstrate the registration accuracy of our approach. The feasibility of the proposed method is demonstrated on a 3-D magnetic resonance data volume and also on clinically acquired 4-D CT image datasets.

Published in:

Information Technology in Biomedicine, IEEE Transactions on  (Volume:15 ,  Issue: 5 )

Date of Publication:

Sept. 2011

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