Methods for determining aortic disease severity using statistical shape modeling and universal coordinate system mesh analysis

A method for classifying an aortic condition of a patient from aorta image data of a patient, the method comprising:

• applying, by one or more processors, the aorta image data to a mesh generator to generate a mesh structure of an aorta of the patient;
• determining, by the one or more processors, an intrinsic coordinate system for the mesh structure and determining a plurality of vertices corresponding to the intrinsic coordinate system;
• mapping, by the one or more processors, the mesh structure to a reference coordinate system and generating, from the plurality of vertices corresponding to the intrinsic coordinate system, a plurality of mapped vertices corresponding to the reference coordinate system;
• embedding, by the one or more processors, the plurality of mapped vertices into the mesh structure to create an embedded mesh structure;
• comparing, by the one or more processors, the embedded mesh structure to a plurality of reference mesh structures comprising at least one normal aortic mesh structure and at least one pathology aortic mesh structure, where each of the plurality of reference mesh structures correspond to the reference coordinate system, and generating a similarity score indicating a similarity of the embedded mesh structure to at least one of the plurality of reference mesh structures;
• and
• based on the similarity score, classifying, by the one or more processors, the aortic condition of the patient.