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Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images
This raises the question, if we are building patient-specific models based on uncertain measurements, how accurate are the geometries we extract and how can we best represent a patient's vasculature?
A Topological Data Analysis Study on Murine Pulmonary Arterial Trees with Pulmonary Hypertension
Results show that HPH trees have higher depth and that the directional complexities correlate with branch number, except for trees pruned by vessel radius, where the left and anterior complexity are lower compared to control trees.
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