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Carotid artery plaques can cause arterial vascular diseases such as strokeand myocardial infarction, posing a severe threat to human life. However, thecurrent clinical examination mainly relies on a direct assessment by physiciansof patients' clinical indicators and medical images, lacking an integratedvisualization tool for analyzing the influencing factors and composition ofcarotid artery plaques. We have designed an intelligent carotid artery plaquevisual analysis system for vascular surgery experts to comprehensively analyzethe clinical physiological and imaging indicators of carotid artery diseases.The system mainly includes two functions: First, it displays the correlationbetween carotid artery plaque and various factors through a series ofinformation visualization methods and integrates the analysis of patientphysiological indicator data. Second, it enhances the interface guidanceanalysis of the inherent correlation between the components of carotid arteryplaque through machine learning and displays the spatial distribution of theplaque on medical images. Additionally, we conducted two case studies oncarotid artery plaques using real data obtained from a hospital, and theresults indicate that our designed carotid analysis system can effectivelyprovide clinical diagnosis and treatment guidance for vascular surgeons.

An Integrated Visual Analytics System for Studying Clinical Carotid Artery Plaques