A computational method using multiresolution for volumetric data integration
Citation
Akinlar, M. A., Kurulay, M., Secer, A., & Celenk, M. (2012). A computational method using multiresolution for volumetric data integration. Boundary Value Problems, 2012(1), 1-7. DOI:10.1186/1687-2770-2012-115Abstract
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