A new consistent image registration formulation with a B-spline deformation model

Authors:
Wei Feng;Stanley J. Reeves;Thomas S. Denney;Steven Lloyd;Louis Dell'Italia;Himanshu Gupta
Affiliations:
ECE Department, Auburn University, Auburn, AL;ECE Department, Auburn University, Auburn, AL;ECE Department, Auburn University, Auburn, AL;Division of Cardiovascular Disease, Univ. of Alabama at Birmingham, Birmingham, AL;Division of Cardiovascular Disease, Univ. of Alabama at Birmingham, Birmingham, AL;Division of Cardiovascular Disease, Univ. of Alabama at Birmingham, Birmingham, AL
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

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Abstract

A consistent image registration formulation with B-spline deformation model is proposed. This formulation avoids the computation of the inverse of a deformation in the iterative optimization and allows the analytical computation of both gradient and Hessian of the cost function. Because of the formulation, the algorithm is computationally efficient and could potentially produce more accurate registration results. Experiments show that the proposed algorithm produces promising results while keeping the estimated deformations consistent.