Keywords: Vascular, Machine Learning/Artificial Intelligence
Motivation: To understand how closely aortic morphology is associated with aortic wall properties.
Goal(s): (1) To correlate aortic shape using morphometrics to aortic stiffness indexed by pulse wave velocity
(2) To correlate shape to regional aortic wall shear stress
Approach: We use atlas-based shape analysis (morphometrics) to generate principal modes of shape variation, and then correlate modes of shape variation with pulse wave velocity to check their association. We also generate deep-learning based WSS using aortic shapes defined as point clouds forming the input to the neural network.
Results: Aortic shapes were moderately associated with aortic stiffness as well as regional wall shear stress.
Impact: Studying aortic morphological remodeling patterns may provide key insight into underlying disease processes that involve changes in aortic material wall properties and regional flow characteristics.
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