1. A computer-implemented method of post-processing medical image data, comprising: receiving tracked image data representative of a plurality of blood vessels; generating a binary tree structure for the plurality of blood vessels based on a parent-child relationship between branches of the plurality of blood vessels; generating a likelihood model for determining a validity of the branches of the plurality of blood vessels; generating a likelihood score for each branch based on the respective branch's compatibility with the likelihood model; and generating a reconstructed tree for the plurality of blood vessels, wherein compatible branches are included in the reconstructed tree and invalid branches are not included in the reconstructed tree.