Affiliation:
1. Faculty of Natural, Mathematical and Engineering Sciences, King’s College London, London, UK
2. Faculty of Life Science and Medicine, King’s College London, London, UK
3. Saigon University, Hochiminh, Vietnam
Abstract
Interventional cardiology procedure is an important type of minimally invasive surgery that deals with the catheter-based treatment of cardiovascular diseases, such as coronary artery diseases, strokes, peripheral arterial diseases, and aortic diseases. Ultrasound imaging, also called echocardiography, is a typical imaging tool that monitors catheter puncturing. Localising a medical device accurately during cardiac interventions can help improve the procedure’s safety and reliability under ultrasound imaging. However, external device tracking and image-based tracking methods can only provide a partial solution. Thus, we proposed a hybrid framework, with the combination of both methods to localise the catheter tip target in an automatic way. The external device used was an electromagnetic tracking system from North Digital Inc (NDI), and the ultrasound image analysis was based on UNet, a deep learning network for semantic segmentation. From the external method, the tip’s location was determined precisely, and the deep learning platform segmented the exact catheter tip automatically. This novel hybrid localisation framework combines the advantages of external electromagnetic (EM) tracking and the deep learning-based image method, which offers a new solution to identify the moving medical device in low-resolution ultrasound images.
Funder
China Scholarship Council
Subject
General Mathematics,General Medicine,General Neuroscience,General Computer Science
Reference32 articles.
1. Fast Catheter segmentation and tracking based on X-ray fluoroscopic and echocardiographic modalities for catheter-based cardiac minimally invasive interventions;X. Wu,2014
2. 3D Echo Guidance for Structural Heart Interventions
3. Echocardiography-Guided Interventions
4. Clinical applications of intracardiac echocardiography in interventional procedures
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献