Deformable registration of male pelvises in CT images

Yiqiang Zhan, Dinggang Shen, Russell H. Taylor

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

4 Scopus citations

Abstract

In this paper, a method for deformable registration of male pelvises in CT images is proposed. It is composed of three major steps. Firstly, an attribute vector is defined for each voxel in the image, and is used to reflect the density distribution of the bone tissues in the neighborhood of that voxel. Different anatomical structures thus own different attribute vectors. Secondly, the match of two images under a particular deformation is evaluated by integrating the similarities of attribute vectors on the corresponding voxels. Finally, a set of hierarchical deformation strategies are employed, in order to avoid the local minimum match of two images. The performance of this deformable registration method has been demonstrated by both synthesized and real CT images of pelvises.

Original languageEnglish (US)
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationMacro to Nano
Pages1463-1466
Number of pages4
StatePublished - 2004
Event2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States
Duration: Apr 15 2004Apr 18 2004

Publication series

Name2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume2

Other

Other2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Country/TerritoryUnited States
CityArlington, VA
Period4/15/044/18/04

ASJC Scopus subject areas

  • General Engineering

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