Automatic detection of echocardiographic views using artificial intelligence

使用人工智能自动检测超声心动图视图

• 批准号: 521716-2017
• 负责人: Derpanis, Konstantinos
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640093
• 关键词: Automatic; detection; echocardiographic; views; using

Ventripoint Diagnostic Ltd. is a medical device company engaged in developing a suite of applications formeasuring the volumes of all four chambers of the heart at the end diastolic and end systolic phases of the heartto help identify heart diseases. The goal of this project is to develop algorithms to automatically detectechocardiographic views and heart parts, such as the endocardium, septum, pulmonic annulus, tricuspidannulus, and apex within the identified view. The developed algorithms will serve to extend the functionalityof Ventripoint's existing analysis software using artificial intelligence.

Ventripoint诊断有限公司是一家医疗设备公司，致力于开发一套应用程序，用于测量心脏舒张末期和收缩末期心脏所有四个腔室的体积，以帮助识别心脏疾病。该项目的目标是开发算法，以自动检测心电图视图和心脏部分，如内动脉，隔膜，肺动脉瓣环，三尖瓣环，并在确定的视图中的顶点。开发的算法将用于扩展Ventripoint现有分析软件的功能，使用人工智能。