Paper Info
Title
ApodNet: Learning for High Frame Rate Synthetic Transmit Aperture Ultrasound Imaging
Abstract
Two-way dynamic focusing in synthetic transmit aperture (STA) beamforming can benefit high-quality ultrasound imaging with higher lateral spatial resolution and contrast resolution. However, STA requires the complete dataset for beamforming in a relatively low frame rate and transmit power. This paper proposes a deep-learning architecture to achieve high frame rate STA imaging with two-way dynamic...
Year
DOI
Venue
2021
10.1109/TMI.2021.3084821
IEEE Transactions on Medical Imaging
Keywords
DocType
Volume
Imaging,Array signal processing,Ultrasonic imaging,Focusing,Spatial resolution,Image resolution,Training
Journal
40
Issue
ISSN
Citations 
11
0278-0062
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Yinran Chen101.35
Jing Liu200.34
Xiongbiao Luo312422.22
Jianwen Luo49725.83