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 language | English |
|---|---|
| Title of host publication | IEEE/Engineering in Medicine and Biology Society Annual Conference |
| Place of Publication | Piscataway, NJ, United States |
| Publisher | Publ by IEEE |
| Pages | 414-415 |
| Number of pages | 2 |
| Volume | 10 |
| Edition | pt 1 |
| State | Published - Nov 1 1988 |
| Externally published | Yes |
| Event | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society - New Orleans, LA, USA Duration: Nov 4 1988 → Nov 7 1988 |
Other
| Other | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| City | New Orleans, LA, USA |
| Period | 11/4/88 → 11/7/88 |
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ASJC Scopus subject areas
- Engineering(all)
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.