Genetic optimization methods for medical image registration

H. Duan, C. Jia, Ou Tan, W. Lu

Research output: Contribution to journalArticle

Abstract

We solved the problem of homogenous landmarks in the procedure of medical image registration via deformable contour model, and genetic algorithm (GA) was used to search the optimal results. The GA used the energy function of the deformable contour as its fitness function, and an adaptive search space scaling technique was presented which was operated by dynamic mapping. The experimental results showed that the proposed method could efficiently establish the correspondence between medical atlas and medical images, which was an important improvement to the previous interactive methods.

Original languageEnglish (US)
Pages (from-to)364-370+379
JournalChinese Journal of Biomedical Engineering
Volume20
Issue number4
StatePublished - 2001
Externally publishedYes

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Image registration
Genetic algorithms
Atlases
Genetic Models

Keywords

  • Genetic algorithm
  • Image segmentation
  • Medical image registration

ASJC Scopus subject areas

  • Biophysics
  • Bioengineering

Cite this

Genetic optimization methods for medical image registration. / Duan, H.; Jia, C.; Tan, Ou; Lu, W.

In: Chinese Journal of Biomedical Engineering, Vol. 20, No. 4, 2001, p. 364-370+379.

Research output: Contribution to journalArticle

Duan, H. ; Jia, C. ; Tan, Ou ; Lu, W. / Genetic optimization methods for medical image registration. In: Chinese Journal of Biomedical Engineering. 2001 ; Vol. 20, No. 4. pp. 364-370+379.
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