Creating a vascular tree model

A method for construction of a vascular tree model comprising:

• receiving by image processing circuitry a plurality of 2-D angiographic images showing blood vessel segments of a portion of a vasculature of a subject;
• extracting automatically by the image processing circuitry, from each of said plurality of 2-D angiographic images, an image feature set comprising 2-D feature positions of said blood vessel segments;
• adjusting automatically by the image processing circuitry said 2-D feature positions to reduce relative position error in a common 3-D coordinate system to which each said image feature set is back-projectable;
• wherein the adjusting comprises iteratively determining a consensus centerline in the common 3-D coordinate system for the feature sets from the plurality of 2-D angiographic images, and wherein the relative position error is calculated based on differences in positions of the projection of the consensus centerline to coordinate systems of the plurality of 2-D angiographic images from positions of the respective image feature sets of the plurality of 2-D angiographic images;
• and
• associating automatically by the image processing circuitry image features of the image feature sets to one another based on their projection from the planes of the 2-D angiographic images to common blood vessel segment regions in said common 3-D coordinate system.