Network-Based Approach for Modeling and Analyzing Coronary Angiography

Ravandi B, Ravandi A (2020)

Publication Type: Conference contribution

Publication year: 2020

Publisher: Springer

Pages Range: 170-181

Conference Proceedings Title: Springer Proceedings in Complexity

Event location: Exeter GB

ISBN: 9783030409425

DOI: 10.1007/978-3-030-40943-2_15

Abstract

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 modeling the cardiovascular system as a complex network is an essential phase to fully automate the interpretation of coronary angiographic images. We show how network science can provide a new perspective to look at coronary angiograms.

Authors with CRIS profile

Arash Ravandi

Involved external institutions

Northeastern University US United States (USA) (US)

How to cite

APA:

Ravandi, B., & Ravandi, A. (2020). Network-Based Approach for Modeling and Analyzing Coronary Angiography. In Hugo Barbosa, Ronaldo Menezes, Jesus Gomez-Gardenes, Bruno Gonçalves, Giuseppe Mangioni, Marcos Oliveira (Eds.), Springer Proceedings in Complexity (pp. 170-181). Exeter, GB: Springer.

MLA:

Ravandi, Babak, and Arash Ravandi. "Network-Based Approach for Modeling and Analyzing Coronary Angiography." Proceedings of the 11th International Conference on Complex Networks, CompleNet 2020, Exeter Ed. Hugo Barbosa, Ronaldo Menezes, Jesus Gomez-Gardenes, Bruno Gonçalves, Giuseppe Mangioni, Marcos Oliveira, Springer, 2020. 170-181.

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