Multidimensional Systems and Signal Processing

, Volume 16, Issue 1, pp 7–47

State Space Realization of a Three-dimensional Image Set with Application to Noise Reduction of Fluorescent Microscopy Images of Cells

Authors

    • Department of Electrical EngineeringUniversity of Texas at Dallas
    • Center for ImmunologyUniversity of Texas Southwestern Medical Center
  • Xuming Lai
    • Department of Electrical EngineeringUniversity of Texas at Dallas
    • Center for ImmunologyUniversity of Texas Southwestern Medical Center
  • Zhiping Lin
    • School of Electrical and Electronic EngineeringNanyang Technological University
  • E. Sally Ward
    • Department of Electrical EngineeringUniversity of Texas at Dallas
    • Center for ImmunologyUniversity of Texas Southwestern Medical Center
Article

DOI: 10.1007/s11045-004-4737-0

Cite this article as:
Ober, R.J., Lai, X., Lin, Z. et al. Multidim Syst Sign Process (2005) 16: 7. doi:10.1007/s11045-004-4737-0

Abstract

A method is presented to calculate state space realizations of a three-dimensional image set. It is based on interpreting the image set as the impulse response of a 3D separable system. As an application it is shown how this method, combined with approximation steps, including balanced model reduction, can be used to suppress noise in three-dimensional image sets. The approach was motivated by a practical problem in the analysis of three-dimensional fluorescent microscopy image data of fluorescently labelled cells. The method is illustrated by an analysis of simulated data and experimental data. The proposed approach can also be applied to a two-dimensional image in a straightforward way.

Keywords

multi-dimensional state space realizationseparable n-D systemimage processingnoise suppressionbalanced realizationfluorescent microscopy

Copyright information

© Springer Science+Business Media, Inc. 2005