CT-MR Image Registration in 3D K-Space Based on Fourier Moment Matching

  • Hong-Ren Su
  • Shang-Hong Lai
Conference paper

DOI: 10.1007/978-3-642-25346-1_27

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7088)
Cite this paper as:
Su HR., Lai SH. (2011) CT-MR Image Registration in 3D K-Space Based on Fourier Moment Matching. In: Ho YS. (eds) Advances in Image and Video Technology. PSIVT 2011. Lecture Notes in Computer Science, vol 7088. Springer, Berlin, Heidelberg

Abstract

CT-MRI registration is a common processing procedure for clinical diagnosis and therapy. We propose a novel K-space affine image registration algorithm via Fourier moment matching. The proposed algorithm is based on estimating the affine matrix from the moment relationship between the corresponding Fourier spectrums. This estimation strategy is very robust because the energy of the Fourier spectrum is mostly concentrated in the low-frequency band, thus the moments of the Fourier spectrum are robust against noises and outliers. Our experiments on the real CT and MRI datasets show that the proposed Fourier-based registration algorithm provides higher registration accuracy than the existing mutual information registration technique.

Keywords

Multi-modal image registration Fourier moments CT MRI 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hong-Ren Su
    • 1
  • Shang-Hong Lai
    • 1
    • 2
  1. 1.Institute of Information Systems and ApplicationsNational Tsing Hua UniversityHsinchuTaiwan
  2. 2.Department of Computer ScienceNational Tsing Hua UniversityHsinchuTaiwan

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