Multiresolution elastic medical image registration in standard intensity scale

Ulaş Baǧci*, Li Bai

*Corresponding author for this work

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

14 Scopus citations

Abstract

Medical image registration is a difficult problem. Not only a registration algorithm needs to capture both large and small scale image deformations, it also has to deal with global and local image intensity variations. In this paper we describe a new multiresolution elastic image registration method that challenges these difficulties in image registration. To capture large and small scale image deformations, we use both global and local affine transformation algorithms. To address global and local image intensity variations, we apply an image intensity standardization algorithm to correct image intensity variations. This transforms image intensities into a standard intensity scale, which allows highly accurate registration of medical images.

Original languageEnglish (US)
Title of host publicationProceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing
Pages305-312
Number of pages8
DOIs
StatePublished - 2007
Externally publishedYes
Event20th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2007 - Belo Horizonte, MG, Brazil
Duration: Oct 7 2007Oct 10 2007

Publication series

NameProceedings of SIBGRAPI 2007 - 20th Brazilian Symposium on Computer Graphics and Image Processing

Conference

Conference20th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2007
Country/TerritoryBrazil
CityBelo Horizonte, MG
Period10/7/0710/10/07

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Fingerprint

Dive into the research topics of 'Multiresolution elastic medical image registration in standard intensity scale'. Together they form a unique fingerprint.

Cite this