An integrated visual analytics system for studying clinical carotid artery plaques

IF 1.7 4区计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Visualization Pub Date : 2024-04-03 DOI:10.1007/s12650-024-00983-1

Chaoqing Xu, Zhentao Zheng, Yiting Fu, Baofeng Chang, Legao Chen, Minghui Wu, Mingli Song, Jinsong Jiang

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引用次数: 0

Abstract

Carotid artery plaques can cause arterial vascular diseases such as stroke and myocardial infarction, posing a severe threat to human life. However, the current clinical examination mainly relies on a direct assessment by physicians of patients’ clinical indicators and medical images, lacking an integrated visualization tool for analyzing the influencing factors and composition of carotid artery plaques. We have designed an intelligent carotid artery plaque visual analysis system for vascular surgery experts to comprehensively analyze the clinical physiological and imaging indicators of carotid artery diseases. The system mainly includes two functions: First, it displays the correlation between carotid artery plaque and various factors through a series of information visualization methods and integrates the analysis of patient physiological indicator data. Second, it enhances the interface guidance analysis of the inherent correlation between the components of carotid artery plaque through machine learning and displays the spatial distribution of the plaque on medical images. Additionally, we conducted two case studies on carotid artery plaques using real data obtained from a hospital, and the results indicate that our designed carotid artery plaque analysis system can effectively assist clinical vascular surgeons in gaining new insights into the disease.

Graphical Abstract

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研究临床颈动脉斑块的综合可视分析系统

摘要颈动脉斑块可引发脑卒中、心肌梗死等动脉血管疾病，严重威胁人类生命安全。然而，目前的临床检查主要依靠医生对患者临床指标和医学影像的直接评估，缺乏分析颈动脉斑块影响因素和构成的综合可视化工具。我们设计了一套智能颈动脉斑块可视化分析系统，供血管外科专家综合分析颈动脉疾病的临床生理指标和影像学指标。该系统主要包括两个功能：一是通过一系列信息可视化方法，综合分析患者生理指标数据，显示颈动脉斑块与各种因素的相关性。其次，它通过机器学习增强了对颈动脉斑块各组成部分之间内在相关性的界面引导分析，并显示斑块在医学影像上的空间分布。此外，我们还利用从医院获得的真实数据对颈动脉斑块进行了两个案例研究，结果表明我们设计的颈动脉斑块分析系统能有效地帮助临床血管外科医生获得对疾病的新认识。图文摘要

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来源期刊

Journal of Visualization COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

3.40

自引率

5.90%

发文量

审稿时长

>12 weeks

期刊介绍： Visualization is an interdisciplinary imaging science devoted to making the invisible visible through the techniques of experimental visualization and computer-aided visualization. The scope of the Journal is to provide a place to exchange information on the latest visualization technology and its application by the presentation of latest papers of both researchers and technicians.