New applications of planar image fusion in clinical nuclear medicine and radiology

Lionel S. Zuckier, Holly M. Koncicki

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

3 Scopus citations

Abstract

Fusion of multiple modalities has become an integral part of modern imaging methodology, especially in nuclear medicine where PET and SPECT scanning are frequently paired with computed tomography (CT). We have extended image fusion from the tomographic realm to planar imaging in 2 specific applications. In the first, we combine planar scintigraphic images with photographic images of the body part of interest, using a predetermined transformation of images between the frames of reference. This technique is especially helpful in "hot spot" imaging applications where minimal background activity makes it difficult to locate abnormalities in an anatomic context. The technique has been demonstrated to be accurate, and results in increased reader confidence. We have also begun fusing orthopedic radiographs with photographic images of the extremities, using fiducial markers within each image set to perform an affine transformation unique for the particular image set. Preliminary results indicate that this method is accurate, and clinical evaluation is underway.

Original languageEnglish (US)
Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Pages1576-1579
Number of pages4
DOIs
StatePublished - 2006
Externally publishedYes
Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
Duration: Aug 30 2006Sep 3 2006

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
ISSN (Print)0589-1019

Other

Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
Country/TerritoryUnited States
CityNew York, NY
Period8/30/069/3/06

ASJC Scopus subject areas

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

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