Automated heart motion analysis and keypoint localization
Automated heart motion analysis and keypoint localization
批准号:
543553-2019
负责人:
Bruce, Neil
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31
中文摘要
医学图像分析是现代医学中一个日益重要的领域和重要组成部分。越来越多的自动化分析工具为医疗从业者提供了监测、诊断和决策的高级能力。该项目涉及心脏超声图像的分析,并利用计算机视觉和人工智能中的新技术来确定心脏运动的动力学特征和识别关键的解剖标志。这将有助于增加现有软件工具和方法的价值,用于心脏运动的三维建模、容量分析和心脏健康的全面监测。
英文摘要
Medical image analysis is an increasingly important domain and a vital component of modern medicine. Increasingly, automated tools for analysis are affording advanced capabilities for monitoring, diagnostics and decision making by healthcare practitioners. This project concerns the analysis of ultrasound imagery of the heart and employing novel techniques in computer vision and AI to determine characteristics of dynamics of heart motion and identification of key anatomical markers. This will help to augment the value of existing software tools and methods for 3D modeling of heart motion, volumetric analysis and overall monitoring of heart health.
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