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Multimodal Registration Using Patch Algorithm

  • P. Zhilkin
  • M. E. Alexander
  • C. D. Mansfield
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2717)

Abstract

Images of different modality are registered using a unimodal image registration program (“Patch Algorithm”). An affine model for the displacement field is considered. Prior to registration the images are convolved with a set of Gabor filter (quadrature) pairs tuned to certain orientations and scales, and a gradient of local phase (local frequency) is computed for the filtered images. Local frequency representation of an image is relatively insensitive to changes in illumination conditions, and may enable common features between images of different modality to be captured. To demonstrate the algorithm, a series of 2- dimensional T2-weighted magnetic resonance images of brain was registered against a T1-weighted reference image. Also, registration of a near infrared hyperspectral datacube was shown to improve recovery of localized skin chromophore features for facial imaging, demonstrating its potential to obtain high spatial resolution diagnostic information.

Keywords

Mutual Information Image Registration Gabor Filter Local Phase Acne Lesion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • P. Zhilkin
    • 1
  • M. E. Alexander
    • 1
  • C. D. Mansfield
    • 1
  1. 1.National Research Council of CanadaInstitute for BiodiagnosticsWinnipegCanada

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