Tomography image co-registration algorithm based on principle of mechanics decomposition

Jun Liu, Shan An Zhu, Bin He

Research output: Contribution to journalArticlepeer-review


In order to obtain medical images with fused information by means of co-registration, the frame of the image to be co-registered was explained as composed of a set of forces in the contour based on the principle of mechanics decomposition, and then the mechanics projection weight of the image was described as two rows of periodic signals that have angle delay to each other and have no relations to their location shift. By choosing the minimal mean square error of the two rows of signals as target function, the transform parameters of the two images were obtained through the modified particle swarm optimization algorithm. The co-registration result in brain MR image shows that the mechanics image target function is less time consuming than other target functions when the optimization method is identical and the registration error is limited within one pixel.

Original languageEnglish (US)
Pages (from-to)1601-1605
Number of pages5
JournalZhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science)
Issue number9
StatePublished - Sep 2008


  • Data fusion
  • Image co-registration
  • Particle swarm optimization


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