Systems and methods for analytical comparison and monitoring of aneurysms

A system for identifying growth of a cerebral aneurysm, the system comprising:

• One or more processors configured to:
• provide a first image segmentation of a surface of a blood vessel network, the first image segmentation comprising a first plurality of blood vessel surface points;
• form a first virtual skeleton model from the first image segmentation, the first virtual skeleton model comprising a plurality of edges, each edge of the plurality of edges having a plurality of skeleton points, each skeleton point of the plurality of skeleton points being associated with a subset of the plurality of blood vessel surface points;
• identify one or more first nodes within the first virtual skeleton model, each of the one or more first nodes intersecting more than two edges of the plurality of edges;
• provide a second image segmentation of a surface of the blood vessel network, the second image segmentation comprising a second plurality of blood vessel surface points;
• form a second virtual skeleton model from the second image segmentation, the second virtual skeleton model comprising a plurality of edges, each edge of the plurality of edges having a plurality of skeleton points, each skeleton point of the plurality of skeleton points being associated with a subset of the plurality of blood vessel surface points;
• identify one or more second nodes within the second virtual skeleton model, each of the one or more second nodes intersecting more than two edges of the plurality of edges;
• and
• overlap the first virtual skeleton model and the second virtual skeleton model by orienting the one or more first nodes with the one or more second nodes.

A method for identifying growth of a cerebral aneurysm, the method comprising:

• providing a first image segmentation of a surface of a blood vessel network, the first image segmentation comprising a first plurality of blood vessel surface points;
• forming a first virtual skeleton model from the first image segmentation, the first virtual skeleton model comprising a plurality of edges, each edge of the plurality of edges having a plurality of skeleton points, each skeleton point of the plurality of skeleton points being associated with a subset of the plurality of blood vessel surface points;
• identifying one or more first terminal points within the first virtual skeleton model, each of the one or more first terminal points intersecting only one edge of the plurality of edges;
• providing a second image segmentation of a surface of the blood vessel network, the second image segmentation comprising a second plurality of blood vessel surface points;
• forming a second virtual skeleton model from the second image segmentation, the second virtual skeleton model comprising a plurality of edges, each edge of the plurality of edges having a plurality of skeleton points, each skeleton point of the plurality of skeleton points being associated with a subset of the plurality of blood vessel surface points;
• identifying one or more second terminal points within the second virtual skeleton model, each of the one or more second terminal points intersecting only one edge of the plurality of edges;
• and
• overlapping the first virtual skeleton model and the second virtual skeleton model by orienting the one or more first terminal points with the one or more second terminal points.