대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)
- 대한의용생체공학회 1991년도 춘계학술대회
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- Pages.9-12
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- 1991
CORRELATION SEARCH METHOD WITH THIRD-ORDER STATISTICS FOR COMPUTING VELOCITIES FROM MEDICAL IMAGES
- Kim, D. (Optics and Electronics Technology Center, Korea Institute of Science and Technology) ;
- Lee, J.H. (Optics and Electronics Technology Center, Korea Institute of Science and Technology) ;
- Oh, M.H. (Optics and Electronics Technology Center, Korea Institute of Science and Technology)
- 발행 : 1991.05.15
초록
The correlation search method yields velocity information by tracking scatter patterns between medical image frames. The displacement vector between a target region and the best correlated search region indicates the magnitude and direction of the inter-frame motion of that particular region. However, if the noise sources in the target region and the search region are correlated Gaussian, then the cross-correlation technique fails to work well because it estimates the cross-correlation of both signals and noises. In this paper we develop a new correlation search method which seeks the best correlated third-order statistics between a target and the search region to suppress the effect of correlated Gaussian noise sources. Our new method yields better estimations of velocity than the conventional cross-correlation method.
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