Iterative principal axes registration: A new algorithm for retrospective correlation of MR-PET brain images

Louis K. Arata, Atam P. Dhawan

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

7 Scopus citations

Abstract

Registration of Magnetic Resonance (MR) and Positron Emission Tomographic (PET) images is a crucial step in multi-modality brain image analysis. We have developed a technique which we call iterative principal axes registration (IPAR). Using this method, partial volumes of PET images can be accurately registered with complete MR scans. We will present qualitative and quantitative results of the new method. These results show that IPAR is accurate and practical as a registration method for MR-PET correlation studies.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
EditorsJean Pierre Morucci, Robert Plonsey, Jean Louis Coatrieux, Swamy Laxminarayan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2776-2778
Number of pages3
ISBN (Electronic)0780307852
DOIs
StatePublished - Jan 1 1992
Externally publishedYes
Event14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992 - Paris, France
Duration: Oct 29 1992Nov 1 1992

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume7
ISSN (Print)1557-170X

Conference

Conference14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
Country/TerritoryFrance
CityParis
Period10/29/9211/1/92

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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