Fast multimodality image matching

A. Apicella, J. H. Nagel, R. Duara

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

5 Scopus citations

Abstract

The diagnostic potential of medical images obtained at different times or from complimentary imaging modalities can be augmented by objective, accurate matching of the different data sets. Correlation analysis offers a powerful technique for the computation of translation, rotation, and scaling differences between image data sets, especially in the case of complimentary images containing similar but not exact information. So far, this technique suffers from the drawback of high computational expense. The authors have reformulated this approach, yielding a fast, computationally much less expensive algorithm. Reduction of computation time is about 75%.

Original languageEnglish
Title of host publicationIEEE/Engineering in Medicine and Biology Society Annual Conference
Place of PublicationPiscataway, NJ, United States
PublisherPubl by IEEE
Pages414-415
Number of pages2
Volume10
Editionpt 1
StatePublished - Nov 1 1988
Externally publishedYes
EventProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society - New Orleans, LA, USA
Duration: Nov 4 1988Nov 7 1988

Other

OtherProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityNew Orleans, LA, USA
Period11/4/8811/7/88

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Apicella, A., Nagel, J. H., & Duara, R. (1988). Fast multimodality image matching. In IEEE/Engineering in Medicine and Biology Society Annual Conference (pt 1 ed., Vol. 10, pp. 414-415). Publ by IEEE.