The present application relates to the technical field of three-
dimensional modeling, in particular to a cardiovascular three-dimensional reconstruction
system based on multi-
modal image data fusion. The present application determines the composite matching cost between the corresponding two points based on the position difference between the three-dimensional prediction contour point and the two-dimensional observation edge point at each time, the spatial constraint of anatomical structure and the consistency of direction characteristics, and determines the
best matching pair set between the three-dimensional prediction contour point and the two-dimensional observation edge point. Based on the composite matching cost of the matching
point pair in the
best matching pair set, the
geometric error cost after removing the influence of the spatial constraint of anatomical structure and the spatial constraint of anatomical structure are removed, the projection deviation between the matching
point pair is adjusted, the position of the three-dimensional prediction contour point of the three-dimensional
reference model is updated, and the three-dimensional reconstruction model is obtained. The present application realizes accurate reconstruction of the cardiovascular model under the irregular heart
rhythm of
atrial fibrillation by using multi-dimensional constraint composite cost accurate matching and based on the double constraint update strategy of
geometric error and anatomical resistance.