Abstract
Abstract In this paper, we present a new method for integration of 3-D medical data by utilizing the advantages of 3-D multiresolution analysis and techniques of variational calculus. We first express the data integration problem as a variational optimal control problem where we express the displacement field in terms of wavelet expansions and, secondly, we write the components of the displacement field in terms of wavelet coefficients. We solve this optimization problem with a blockwise descent algorithm. We demonstrate the registration of 3-D brain MR images in the size of 257 × 257 × 65 as an application of the present method. Experimental results indicate that the method can integrate 3-D MR images better than only variational or only wavelet-based methods. MSC: 68U10, 65D18, 65J05, 97N40.
Highlights
The main purpose of this paper is to present an efficient -D medical data integration technique
In Section, we present an algorithm for integration of -D medical data by utilizing the advantages of -D multiresolution analysis and techniques of variational calculus
In Section, we present some experimental results regarding the integration of MR images as an application of the present method
Summary
The main purpose of this paper is to present an efficient -D medical data (image) integration technique. In Section , we present an algorithm for integration of -D medical data by utilizing the advantages of -D multiresolution analysis and techniques of variational calculus. 2 Multiresolution approach for deformation field Assume that both the template T(x) and reference R(x) images are defined on the same domain ⊂ R .
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