A computational method using multiresolution for volumetric data integration

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AKINLAR M. A., KURULAY M., SEÇER A., Celenk M.

Boundary Value Problems, vol.2012, 2012 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 2012
  • Publication Date: 2012
  • Doi Number: 10.1186/1687-2770-2012-115
  • Journal Name: Boundary Value Problems
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Keywords: Image integration, Inverse problems, Multiresolution, Variational optimization
  • Bilecik Şeyh Edebali University Affiliated: Yes

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. © 2012 Akinlar et al.