Abstract
Purpose: A new approach is presented to extract the coronary artery blood flow patterns from the angiographic data and to calculate the parameter to evaluate the heart function. Methods: This method uses five patientsˈ coronary angiographic data. Firstly, use a ˈseedˈ method to extract the coronary artery in a completely automatic way. Secondly, acquire the blood flow patterns from the angiographic data with a ‘dynamic registration’ method and save the result image sequence as an AVI file. Finally, calculate the heart function parameter (velocity of blood flow) by frame counting method. Results: The accurate boundary of the coronary artery and the blood flow is clearly presented, and the velocity of blood flow is similar to the Dopller ultrasound measurement. Conclusions: This method is shown with good performance, particularly in modeling the blood flow patterns and calculation of heart function parameter. It provides not only an automatic, fast, real‐time and accurate method in precise diagnosis and treatment of coronary disease, but also a complementary criterion to evaluate the heart function, and then predict the recovery.
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