Improved centerline tracking for new descriptors of atherosclerotic aortas
Résumé
To develop more patient specific treatments we need to collect and understand a growing set of data about the patient. In the context of the atherosclerotic aortic bifurcation, following recent developments in clinical research, we propose new objective mathematical descriptors of the patient vascular morphology. These descriptors can be automatically extracted thanks to a robust centerline extraction algorithm also presented in this article and that is dedicated to the processing of noisy meshes. We show that these descriptors can provide new vizualization tools built from segmented CT scans.
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