METHOD FOR DETERMINING THE CONTOUR OF AN IN VIVO ORGAN USING MULTIPLE IMAGE FRAMES OF THE ORGAN

摘要

An automated method for evaluating image data taken over a sequence of image frames to determine a contour of a left ventricle (LV). Also provided are training data determined from manually-drawn contours of hearts of other individuals. End diastole (ED) and end systole (ES) aortic valve points and an apex point determined by viewing the sequence of images for the heart being analyzed are entered, and an initial ED/ES region classifier (110) is developed for the image data using a probability table (120). An ED/ES pixel class image (140) and ES pixel class image (206) are produced, yielding 100-point classifier ED and ES boundaries (160,222). Regression coefficients (164,244) derived from the training data are applied to determine a 100-point regressed ED boundary (162) and a 100-point regressed ES boundary (224), which can be used to calculate an ejection fraction for the heart.