Registration of 3D FMT and CT images of mouse via affine transformation using sequential Monte Carlo

Zheng Xia, Xiaobo Zhou, Youxian Sun, Stephen T C Wong

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

2 Scopus citations

Abstract

It is difficult to directly co-register the 3D FMT (Fluorescence Molecular Tomography) image of a small tumor in a mouse whose maximal diameter is only a few mm with a larger CT image of the entire animal that spans about ten cm. This paper proposes a new method to register 2D flat and 3D CT image first to facilitate the registration between small 3D FMT images and large CT images. A novel algorithm based on SMC (Sequential Monte Carlo) incorporated with least square operation for the registration between the 2D flat and 3D CT images is introduced and validated with simulated images and real images of mice. The visualization of the preliminary alignment of the 3D FMT and CT image through 2D registration shows promising results.

Original languageEnglish (US)
Title of host publicationComputational Models For Life Sciences (CMLS '07) - 2007 International Symposium
Pages48-56
Number of pages9
Volume952
DOIs
StatePublished - Dec 1 2007
Event2007 International Symposium on Computational Models for Life Sciences, CMLS '07 - Gold Coast, QLD, Australia
Duration: Dec 17 2007Dec 19 2007

Other

Other2007 International Symposium on Computational Models for Life Sciences, CMLS '07
CountryAustralia
CityGold Coast, QLD
Period12/17/0712/19/07

Keywords

  • Animal molecular imaging
  • Fluorescence molecular tomography (FMT)
  • Particle filter
  • Registration
  • Sequential monte carlo

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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