[1909.02664] Network-Based Approach for Modeling and Analyzing Coronary Angiography

Significant intra-observer and inter-observer variability in the interpretation of coronary angiograms are reported. This variability is in part due to the common practices that rely on performing visual inspections by specialists (e.g., the thickness of coronaries). Quantitative Coronary Angiography (QCA) approaches are emerging to minimize observer's error and furthermore perform predictions and analysis on angiography images. However, QCA approaches suffer from the same problem as they mainly rely on performing visual inspections by utilizing image processing techniques. In this work, we propose an approach to model and analyze the entire cardiovascular tree as a complex network derived from coronary angiography images. This approach enables to analyze the graph structure of coronary arteries. We conduct the assessments of network integration, degree distribution, and controllability on a healthy and a diseased coronary angiogram. Through our discussion and assessments, we propose

3 mentions: @alexvespi@lammiia
Date: 2019/09/09 20:17

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@alexvespi Network-Based Approach for Modeling and Analyzing Coronary Angiography “approach to model and analyze the entire cardiovascular tree as a complex network derived from coronary angiography images” https://t.co/mgZM2JaNYX https://t.co/mWl0rRb7wl
@lammiia Interesting use case of #networkScience >> Modeling and analyzing the cardiovascular tree as a complex network to ultimately automate the interpretation of coronary angiographic images https://t.co/SKU1Psm1As https://t.co/ayBaeyVmGo