System and method for automatic detection of end of diastole...

Image analysis – Applications – Biomedical applications

Reexamination Certificate

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C382S132000

Reexamination Certificate

active

08077953

ABSTRACT:
End-diastolic and end-systolic image frames are automatically selected on a real-time basis from a sequence of X-ray ventricular angiogram images by modeling the angiogram images by a dynamic graphical model and estimating a posterior probability density of the ventricular area in each angiogram image frame using Bayesian probability density propagation and adaptive background modeling. Then, a variation curve plot of expectation values of the posterior probability density of the ventricular area of each angiogram image frame is generated in which peaks and valleys in the variation curve correspond to end-diastolic and end-systolic angiogram image frames, respectively.

REFERENCES:
patent: 6045512 (2000-04-01), Roteliuk et al.
Oost et al., “Automated Contour Detection in X-Ray Left Ventricular Angiograms Using Multiview Active Appearance Models and Dynamic Programming”, IEEE Transactions on Medical Imaging 25, pp. 1158-1171, Sep. 2006.
Arulampalam et al., “A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking”, IEEE Trans. Signal Processing 50, pp. 174-188, Feb. 2002.

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