Optical Flow Estimation of the Heart Motion using Line Process (CROSBI ID 508272)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bogunović, Hrvoje ; Lončarić, Sven
engleski
Optical Flow Estimation of the Heart Motion using Line Process
This paper uses line process technique from computer vision to enhance optical flow computation for the problem of cardiac motion estimation. The basic idea is to introduce the line process as a tool for handling discontinuities of the optical flow field. Optical flow showing cardiac motion can then become piecewise smooth instead of globally smooth. Points of interest usually lie on the boundaries of the heart and this method is especially accurate at such points. The general problem is stated as a Bayes estimator and uses MRF framework to encode a priori knowledge. The MAP estimation is found as the minimum of the non-convex energy function using Highest Confidence First (HCF) algorithm. The advantages of HCF algorithm are that it is deterministic and the result is not dependant on the initialization step. The procedure is applied to ECG-gated MR image sequence of the beating heart.
Cardiac motion estimation; optical flow; line process; MRF
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Podaci o prilogu
296-299-x.
2005.
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objavljeno
Podaci o matičnoj publikaciji
Proceedings of 4th IASTED Conference on Biomedical Engineering
Podaci o skupu
4th IASTED Conference on Biomedical Engineering
predavanje
16.02.2005-18.02.2005
Innsbruck, Austrija