An information-theoretic detector based scheme for registration of speckled medical images

Zhe Wang, Greg Slabaugh, Gozde Unal, Mengchu Zhou, Tong Fang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Several studies dealt with medical ultrasound registration. Their similarity metrics relied on pixel-to-pixel intensity comparisons. Hence, they are not well suited to the case of speckled images. To better handle the speckle noise, our previous work proposed an information-theoretic feature detector-based registration approach. This work aims to extend it to the cases where the image speckle model is Rayleigh or normalized Fisher-Tippett distributed. Using speckle modeling based on these distributions, a speckle-specific information-theoretic feature detector is constructed and applied to provide feature images. Those feature images are then registered using differential equations, the solution of which provides a transformation to bring the images into alignment. Compared to standard gradient-based techniques, the experimental results demonstrate the effectiveness of our method, particularly for low contrast ultrasound images.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Pages1026-1030
Number of pages5
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
Duration: Oct 7 2007Oct 10 2007

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Other

Other2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
CountryCanada
CityMontreal, QC
Period10/7/0710/10/07

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Keywords

  • Biomedical image processing
  • Image registration
  • Information theory
  • Speckle image

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