학술논문
Deep Learning Based Microbubble Localization for Fast and Robust Ultrasound Localization Microscopy
Document Type
Conference
Author
Source
2020 IEEE International Ultrasonics Symposium (IUS) Ultrasonics Symposium (IUS),2020 IEEE International. :1-4 Sep, 2020
Subject
Language
ISSN
1948-5727
Abstract
Ultrasound localization microscopy (ULM) is a recently developed technique that addresses the resolution-penetration trade-off of ultrasound. However, its clinical application was limited by localization performance. In this study, we propose to improve the localization performance of ULM with a deep learning based localization technique that uses Field-II simulation and RF data.