System and Method for Automatic Detection of End of Diastole and End of Systole Image Frames in X-Ray Ventricular Angiography

摘要

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.