在先天性心脏病中的图形理论应用
1Department of Medical Imaging, National Taiwan University Hospital and Children Hospital, National Taiwan University, 7 Chung-Shan South Road, Taipei, 10002, Taiwan.
Scientific reports
|July 10, 2023
概括
图形理论提供了一种新的方法来绘制复杂的先天性心脏病 (CHD). 这种方法代表了血液流通通道,有助于分析和潜在的AI开发用于心血管疾病.
科学领域:
- 心血管科学 心血管科学
- 网络科学 网络科学
- 医疗成像医学成像
背景情况:
- 遗传性心脏病 (CHD) 具有心脏结构和血液流动的复杂异常的特点.
- 传统的方法可能无法完全捕捉到CHD复杂的网络动态.
- 图形理论为分析复杂网络提供了一个强大的框架.
研究的目的:
- 引入一种基于图形理论的新方法来表示先天性心脏病 (CHD).
- 展示这种方法在可视化和分析特定的心血管疾病 (CHD) 中的应用,如法洛特四分法 (TOF) 和大动脉转移 (TGA).
- 探索这种方法在推进CHD研究和人工智能应用方面的潜力.
主要方法:
- 以图形形式表示心脏结构和血液流动,顶点是血液空间,边缘是指导血液流动.
- 构建针对正常和异常心脏病的定向图和二进制相邻矩阵.
- 开发使用4D流MRI数据的加权邻矩阵,并将特定心血管疾病病例的血液流速纳入其中.
主要成果:
- 成功构建了各种CHD模型的定向图和二进制相邻矩阵,包括TOF和TGA.
- 用4D流动MRI数据为修复的TOF生成加权相邻矩阵,量化血流动力学.
- 通过图形表示,可视化了CHD中复杂的血液流动模式.
结论:
- 拟议的图形理论方法为代表和分析先天性心脏病提供了一个有前途的方法.
- 这种方法可以作为开发用于CHD诊断和治疗规划的AI工具的基础.
- 该技术有助于更深入地了解CHD病理生理学,并有助于未来的研究工作.
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