학술논문
Guest Editorial A Glimpse Into the Cutting Edge of Interventional Ultrasound
Document Type
Periodical
Author
Source
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control IEEE Trans. Ultrason., Ferroelect., Freq. Contr. Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on. 70(9):905-908 Sep, 2023
Subject
Language
ISSN
0885-3010
1525-8955
1525-8955
Abstract
Breakthroughs in deep learning (DL), artificial intelligence (AI), point-of-care ultrasound (POCUS), and medical robotics have set off an exciting era in interventional ultrasound. Advances in DL and AI have enabled better and faster-than-ever extraction of information from ultrasound data. POCUS is becoming increasingly popular due to its cost-effectiveness, improved image quality, and ease of use. In addition, manufacturers have moved away from analog beamforming to digital beamforming, which provides researchers with access to raw data which is usually more information-rich than beamformed B-mode images. Concurrently, medical robotics is becoming ever more established in its traditional application and is further finding new, emerging clinical applications. The Guest Editors are delighted to present 14 papers in this Spotlight Issue on Interventional Ultrasound.